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<section style="box-sizing: border-box;font-style: normal;font-weight: 400;text-align: justify;font-size: 16px;"><section style="box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;width: 15%;padding: 0px 5px 0px 0px;box-sizing: border-box;"><section style="text-align: center;margin: 10px 0%;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.91" data-w="100" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMUxAFTo1P2EudCQibfIwSZulmVwcdU7YT5lVWxaHDf5132QpLq0odIRQ/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section></section><section style="display: inline-block;vertical-align: top;width: 70%;box-sizing: border-box;"><section style="margin: 10px 0% 0px;box-sizing: border-box;" powered-by="gulangu"><section style="text-align: center;font-size: 12px;color: rgb(153, 166, 171);line-height: 1.4;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><span style="letter-spacing: 0px;line-height: 1.4;box-sizing: border-box;">欢迎点击以上蓝色字体</span><br style="box-sizing: border-box;"  /></p><p style="margin: 0px;padding: 0px;box-sizing: border-box;">关注</p></section></section></section><section style="display: inline-block;vertical-align: top;width: 15%;padding: 0px 0px 0px 5px;box-sizing: border-box;"><section style="text-align: center;margin: 10px 0%;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.91" data-w="100" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMUxAFTo1P2EudCQibfIwSZulmVwcdU7YT5lVWxaHDf5132QpLq0odIRQ/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section></section></section><section style="margin: 10px 0px;box-sizing: border-box;" powered-by="gulangu"><section style="width: 50%;border-width: 3px;border-style: solid;border-color: rgb(254, 193, 192);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="padding: 5px 4px;clear: both;letter-spacing: 1px;box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;clear: none;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">作者西北大学城市与环境学院硕士研究生韩静，西北大学城市与环境学院副教授、硕士生导师芮旸，西北大学城市与环境学院讲师、硕士生导师贺建雄，西安建筑科技大学建筑学院本科生刘薇在《规划师》2020年第2期撰文，文章综合运用空间自相关分析和探索性回归、OLS 回归、GWR 模型等方法，对国家园林城市与国家森林城市空间格局的特征及影响因素进行比较分析。结果表明：①两类城市的省际分布都呈不均衡和正相关特征，空间分异格局和局部关联格局的相似性强。②国家森林城市的分布主要受城市建成区绿化覆盖率因素的影响，也与设市城市数量有关；国家园林城市则主要受设市城市数量影响，还与人均GDP 有关。③因两类评比表彰项目的对象均为城市，故在省域尺度上两类城市评选结果的一致性是受我国城市分布格局影响，与评选标准无关。④两类城市影响因素的效应都有不同程度的空间异质性，且所呈格局特征不一，为此在创建国家园林城市和国家森林城市的过程中应根据地区差异化施策。</p></section><section style="width: 50%;border-width: 3px;border-style: solid;border-color: rgb(42, 118, 162);float: right;margin-top: -6px;box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="clear: both;box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;width: 100%;border-color: rgb(21, 103, 167);border-style: solid;border-width: 1px;padding: 0px 4px;box-sizing: border-box;"><section style="margin: 0.5em 0px;text-align: left;transform: translate3d(0px, 0px, 0px);box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);font-size: 12px;padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">[ 关键词 ] 国家园林城市；国家森林城市；空间格局特征；影响因素；比较研究</p></section><section style="border-top: 2px dotted rgb(95, 94, 102);width: 100%;box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section></section><section style="font-size: 12px;color: rgb(56, 30, 5);letter-spacing: 1px;padding: 0px 4px;box-sizing: border-box;" powered-by="gulangu"><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">[ 文章编号 ]1006-0022(2020)02-0020-07</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">[ 中图分类号 ]TU984　</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">[ 文献标识码 ]A</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">[ 引文格式 ]<span style="box-sizing: border-box;">韩静，芮旸，贺建雄，等．国家园林城市与国家森林城市空间分布特征及影响因素比较[J]．规划师，2020(2)：</span><span style="box-sizing: border-box;">20-26．</span></p></section></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.3692308" data-w="65" src="http://mmbiz.qpic.cn/mmbiz_gif/RFW9IrRE03Kibq7rl75WWpJMFicLkicCibnHEH9AGRZMSWYzzHs81PtryguyljtccDv6ooibZcibT5C32f4fk2bz0tpg/640?wx_fmt=gif" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="gif"  /></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;border-radius: 1em;background-color: rgb(21, 103, 167);padding: 0.3em 0.8em;color: rgb(255, 255, 255);font-size: 18px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">一</strong></p><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">研究方法与数据来源</strong></p></section></section><section style="margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;width: 100%;border-width: 1px;border-style: solid;border-color: rgb(21, 103, 167);padding: 10px;box-shadow: rgb(0, 0, 0) 0px 0px 0px;box-sizing: border-box;"><section style="margin: 0.5em 0px;text-align: left;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">（一）研究方法</p></section><section style="height: 2px;width: 100%;background-color: rgb(0, 0, 0);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">除应用描述性统计分析、不平衡指<span style="box-sizing: border-box;">数、分级统计图法、全局Moran's I指数、</span><span style="box-sizing: border-box;">LISA聚类图等方法对国家园林城市</span><span style="box-sizing: border-box;">与国家森林城市分布的空间异质性和空</span><span style="box-sizing: border-box;">间自相关性进行测度外，研究还涉及多</span><span style="box-sizing: border-box;">种回归分析方法。本文对选取的变量及</span><span style="box-sizing: border-box;">使用的回归模型说明如下。</span></p></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">1.变量选取</p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">鉴于两类城市的评比表彰项目属性，<span style="box-sizing: border-box;">参照相关研究成果，从评选标准、</span><span style="box-sizing: border-box;">气候、经济和城镇化4个维度选取10项</span><span style="box-sizing: border-box;">指标作为自变量，以两者的分省数量为</span><span style="box-sizing: border-box;">因变量，在省域尺度分别对两者分异格</span><span style="box-sizing: border-box;">局的影响因素进行探究。由于两类城市</span><span style="box-sizing: border-box;">在申报范围、考核内容等方面的共性较</span><span style="box-sizing: border-box;">强，为进行比较研究，针对两类城市分</span><span style="box-sizing: border-box;">别选取的10项自变量指标中有9项都相</span><span style="box-sizing: border-box;">同，仅评选标准因素中的城市建成区绿</span><span style="box-sizing: border-box;">地率(国家园林城市) 与森林覆盖率(国</span><span style="box-sizing: border-box;">家森林城市) 不相同。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(1) 评选标准因素。两类城市的命名<span style="box-sizing: border-box;">均需通过评审，申报城市的各项指标首</span><span style="box-sizing: border-box;">先要达标。因此，两者的评价指标体系</span><span style="box-sizing: border-box;">及考核要求，即评选标准将直接影响其</span><span style="box-sizing: border-box;">命名和分布。尽管自“创园”“创森”</span><span style="box-sizing: border-box;">活动开展以来，两者评选标准的结构及</span><span style="box-sizing: border-box;">具体条目都在不断调整，但考核内容始终</span><span style="box-sizing: border-box;">聚焦在绿色生态空间的营建上，评价指标</span><span style="box-sizing: border-box;">尤其是核心的量化指标一直未变(表1)。</span><span style="box-sizing: border-box;">基于此，考虑数据可获性，研究从表1</span><span style="box-sizing: border-box;">提炼出的硬指标中分别选取城市建成区</span><span style="box-sizing: border-box;">绿地率、城市人均公园绿地面积、森林</span><span style="box-sizing: border-box;">覆盖率、城市建成区绿化覆盖率及城市</span><span style="box-sizing: border-box;">人均公园绿地面积等评选标准因素，假</span><span style="box-sizing: border-box;">设以上变量均分别正向作用于两类城市</span><span style="box-sizing: border-box;">的创建活动。</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="1.1219081" data-w="566" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicM6sQnPua3sxuDlSEwQF59Dh3hSx0bOIuHuZatP3MmaVT1TpvXpc3Hyg/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(2) 气候因素。两类城市的评选均以<span style="box-sizing: border-box;">城市绿化建设管理水平为考核的基本内</span><span style="box-sizing: border-box;">容和重点。不论是绿量的增加、园林(或</span><span style="box-sizing: border-box;">林木)绿化质量的提高，还是城市绿地(或</span><span style="box-sizing: border-box;">森林) 的养护，都受到水热等气候条件的</span><span style="box-sizing: border-box;">影响。因此，引入水分条件和热量条件</span><span style="box-sizing: border-box;">两个变量，检验气候因素对“创园”“创</span><span style="box-sizing: border-box;">森”的影响。其中，“创园”以多年平</span><span style="box-sizing: border-box;">均降水量表征；“创森”是虚拟变量，</span><span style="box-sizing: border-box;">全部或大部分位于亚热带和暖温带的省</span><span style="box-sizing: border-box;">份取1，否则取0。研究假设水分条件和</span><span style="box-sizing: border-box;">热量条件与两类城市的数量正相关。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(3) 经济因素。“创园”工作不仅涵<span style="box-sizing: border-box;">括了城市园林绿化规划设计、建设和养</span><span style="box-sizing: border-box;">护管理等各个环节，还已拓展到生态修</span><span style="box-sizing: border-box;">复、资源保护、市政建设、住房保障及</span><span style="box-sizing: border-box;">低碳节能等多个方面；“创森”除需完</span><span style="box-sizing: border-box;">成城市森林保护、建设和管理方面的核</span><span style="box-sizing: border-box;">心任务外，还涉及林业经济发展和生态</span><span style="box-sizing: border-box;">文化传播等内容。“创园”“创森”都</span><span style="box-sizing: border-box;">是庞大而复杂的社会工程，涉及面广、</span><span style="box-sizing: border-box;">任务量大，需要政府和社会资金在短短</span><span style="box-sizing: border-box;">数年内的大规模集中投入。因此，以人</span><span style="box-sizing: border-box;">均GDP、地方一般公共预算收入、城镇</span><span style="box-sizing: border-box;">居民人均可支配收入这3个指标反映经</span><span style="box-sizing: border-box;">济层面上“创园”或“创森”的专项资</span><span style="box-sizing: border-box;">金及各类资源的投入能力。研究假设某</span><span style="box-sizing: border-box;">省份的这3项指标值越高，该省份两类</span><span style="box-sizing: border-box;">城市的数量就越多。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(4) 城镇化因素。国家园林城市与国<span style="box-sizing: border-box;">家森林城市主要从地级市和县级市中产</span><span style="box-sizing: border-box;">生。既有研究表明，前者的分布受城市</span><span style="box-sizing: border-box;">发育状况因素的影响，集聚在我国主要</span><span style="box-sizing: border-box;">城市化地区。因此，以设市城市数量</span><span style="box-sizing: border-box;">和城镇化率表征该因素，假设这两个变</span><span style="box-sizing: border-box;">量对两类城市的数量都具有正向影响。</span></p></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">2.<span style="box-sizing: border-box;">模型说明</span></p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(1) 探索性回归，是一种数据挖掘工<span style="box-sizing: border-box;">具，通过对上述解释变量的每种可能组</span><span style="box-sizing: border-box;">合进行评估，查找到正确指定的OLS回</span><span style="box-sizing: border-box;">归模型。合格模型的最小校正可决系数</span><span style="box-sizing: border-box;">(Adjusted R2，以下简称“校正R2”) 值为</span><span style="box-sizing: border-box;">0.5，最大方差膨胀因子(VIF) 值边界为</span><span style="box-sizing: border-box;">7.5，最小Jarque-Bera p值为0.1。此时，</span><span style="box-sizing: border-box;">模型通过了Jarque-Bera 检验和共线性</span><span style="box-sizing: border-box;">诊断，残差呈正态分布，能解释因变量</span><span style="box-sizing: border-box;">中至少50% 的变化。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(2) 普通最小二乘法(OLS)回归，是<span style="box-sizing: border-box;">应用最广泛的传统( 非空间) 统计方法，</span><span style="box-sizing: border-box;">也是空间回归分析方法的正确起点，可</span><span style="box-sizing: border-box;">以从针对因变量所构建的自变量指标中</span><span style="box-sizing: border-box;">筛选出对其具有显著影响的因素。当模</span><span style="box-sizing: border-box;">型解释变量与因变量的关系在整个研究</span><span style="box-sizing: border-box;">区中都一致时，作为全局模型的OLS 回</span><span style="box-sizing: border-box;">归能构造出最佳解释方程。但具有空间</span><span style="box-sizing: border-box;">自相关性和空间异质性这两种内在本性</span><span style="box-sizing: border-box;">的空间数据经常与OLS回归的假定条件</span><span style="box-sizing: border-box;">及要求不符，可能会导致模型估计产生</span><span style="box-sizing: border-box;">偏差，需引入GWR 模型，以构建运</span><span style="box-sizing: border-box;">算结果更符合实际的回归方程。不直接采</span><span style="box-sizing: border-box;">用GWR模型的原因在于其诊断性不强。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="box-sizing: border-box;">在OLS回归结果中，校正R2用于衡</span><span style="box-sizing: border-box;">量模型的性能；VIF用于测量解释变量中</span><span style="box-sizing: border-box;">的冗余；Koenker(BP) 统计量用于确定解</span><span style="box-sizing: border-box;">释变量是否在地理空间中与因变量具有</span><span style="box-sizing: border-box;">一致的关系，其p值小于0.05表示模型</span><span style="box-sizing: border-box;">具有统计学上的显著非稳态，适合进行</span><span style="box-sizing: border-box;">GWR分析。在Koenker(BP) 统计量具有</span><span style="box-sizing: border-box;">显著性的情况下，参考联合卡方统计量</span><span style="box-sizing: border-box;">评估模型的统计显著性，其p 值小于0.05</span><span style="box-sizing: border-box;">表示模型整体显著；系数反映解释变量</span><span style="box-sizing: border-box;">与因变量之间的关系类型和强度，其统</span><span style="box-sizing: border-box;">计显著性使用稳健概率评估。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(3) 地理加权回归(GWR)，是基于局<span style="box-sizing: border-box;">部光滑思想提出的空间回归模型，既</span><span style="box-sizing: border-box;">能有效估计具有空间自相关性的数据，</span><span style="box-sizing: border-box;">也能反映参数在不同区域的空间非平稳</span><span style="box-sizing: border-box;">性。模型公式如下：</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.7315068" data-w="365" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMicXEBShiaTicfLqv0rqsAWX08pIXtAsNjy9ZQ0BDVCPNXHQI1SZzukFww/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.0694444" data-w="360" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMicKicwnJnJwLgms3BNlGocs6xY8DJHEURoSLN6HC9sZicVZCsK1F8laAQ/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">在GWR结果中，除多重可决系数<span style="box-sizing: border-box;">(Multiple R2，以下简称“R2”) 和校正</span><span style="box-sizing: border-box;">R2外，AICc 也可用于检验模型性能，并</span><span style="box-sizing: border-box;">能比较回归模型，其值较低的模型能更好</span><span style="box-sizing: border-box;">地拟合数据，是更佳的模型；当条件数小</span><span style="box-sizing: border-box;">于0、大于30时，表明模型存在局部多</span><span style="box-sizing: border-box;">重共线性，结果不可靠。</span></p></section><section style="margin: 0.5em 0px;text-align: left;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">（二）研究对象与数据来源</p></section><section style="height: 2px;width: 100%;background-color: rgb(0, 0, 0);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="box-sizing: border-box;">对“创园”“创森”成功的两类城</span><span style="box-sizing: border-box;">市的分析单元进行叠加可以发现，两者</span><span style="box-sizing: border-box;">中有137个分析单元是重合的。本文利</span><span style="box-sizing: border-box;">用ArcGIS10.2软件对两类城市的分布进</span><span style="box-sizing: border-box;">行可视化表达(图1)。</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.8399072" data-w="431" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMlic3KR8JUdDdJmib9yrQ8To10GN2vQabAabBkrjMLcialicTRGYFKLyMFQ/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">研究对象数据来源于住房和城乡建<span style="box-sizing: border-box;">设部网(http://www.mohurd.gov.cn)、</span><span style="box-sizing: border-box;">中国林业网(http://www.forestry.gov.</span><span style="box-sizing: border-box;">cn)。在属性数据中，各省份的设市城市</span><span style="box-sizing: border-box;">数量、城镇化率、人均GDP、城镇居民</span><span style="box-sizing: border-box;">人均可支配收入、地方一般公共预算收</span><span style="box-sizing: border-box;">入、森林覆盖率、城市建成区绿化覆盖</span><span style="box-sizing: border-box;">率和城市人均公园绿地面积等数据来源</span><span style="box-sizing: border-box;">于《中国统计年鉴2018》；城市建成区</span><span style="box-sizing: border-box;">绿地率数据来源于《中国环境统计年鉴</span><span style="box-sizing: border-box;">2017》；多年平均降水量数据采用2003</span><span style="box-sizing: border-box;">年(“创森”活动开展前一年) 到2016</span><span style="box-sizing: border-box;">年降水量数据的平均值，数据来源于</span><span style="box-sizing: border-box;">2006～2017年的《中国环境统计年鉴》。</span></p></section></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.3692308" data-w="65" src="http://mmbiz.qpic.cn/mmbiz_gif/RFW9IrRE03Kibq7rl75WWpJMFicLkicCibnHEH9AGRZMSWYzzHs81PtryguyljtccDv6ooibZcibT5C32f4fk2bz0tpg/640?wx_fmt=gif" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="gif"  /></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;border-radius: 1em;background-color: rgb(21, 103, 167);padding: 0.3em 0.8em;color: rgb(255, 255, 255);font-size: 18px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">二</strong></p><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">结果与分析</strong></p></section></section><section style="display: block;box-sizing: border-box;" powered-by="gulangu"><section style="margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;"><section style="display: inline-block;width: 100%;border-width: 1px;border-style: solid;border-color: rgb(21, 103, 167);padding: 10px;box-shadow: rgb(0, 0, 0) 0px 0px 0px;box-sizing: border-box;"><section style="margin: 0.5em 0px;text-align: left;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">（一）国家园林城市与国家森林城市空间格局特征比较</p></section><section style="height: 2px;width: 100%;background-color: rgb(0, 0, 0);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">1.空间分异格局特征</p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">国家园林城市分省数量的均值和标<span style="box-sizing: border-box;">准差都明显高于国家森林城市，但由变</span><span style="box-sizing: border-box;">异系数可知各省份国家森林城市数之间</span><span style="box-sizing: border-box;">的离散程度或者说差异更大(表2)。国家</span><span style="box-sizing: border-box;">园林城市、国家森林城市的省域尺度不</span><span style="box-sizing: border-box;">平衡指数分别为0.464、0.531，表明两者</span><span style="box-sizing: border-box;">在省际间的分布都不均衡，且后者相对</span><span style="box-sizing: border-box;">更为集中。随后选取各省份的国家园林</span><span style="box-sizing: border-box;">城市数与国家森林城市数作为变量，计</span><span style="box-sizing: border-box;">算得到两者的皮尔逊相关系数为0.824(在</span><span style="box-sizing: border-box;">0.01 水平上显著)，表明这两类城市的分</span><span style="box-sizing: border-box;">布在省域尺度上具有极强的正相关关系。</span></p><p style="text-align: center;"><img class="rich_pages" data-ratio="0.3548951048951049" data-s="300,640" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMe6gH5NECptjfO7GMzVDs6KDkZW95FVPJFCt3trTS0BnCBtRLItfAXQ/640?wx_fmt=png" data-type="png" data-w="572" style=""  /></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="box-sizing: border-box;"></span><span style="box-sizing: border-box;">为进一步揭示国家园林城市与国家</span><span style="box-sizing: border-box;">森林城市省际分异格局的关联，研究在</span><span style="box-sizing: border-box;">ArcGIS中应用自然间断点分级法(Jenks)，</span><span style="box-sizing: border-box;">按其两类城市的数量对各省份进行分类</span><span style="box-sizing: border-box;">及匹配分析，并将结果可视化( 图2)。由</span><span style="box-sizing: border-box;">此可知，在省域尺度上，国家园林城市</span><span style="box-sizing: border-box;">与国家森林城市数量的关系类型有5种：</span><span style="box-sizing: border-box;">①表现为多—多关系的省份，即两类城</span><span style="box-sizing: border-box;">市的共同密集区有3 个，为浙江、山东和</span><span style="box-sizing: border-box;">河南；②表现为多—中等关系的省份有3</span><span style="box-sizing: border-box;">个，为江苏、湖北和广东；③表现为中等—</span><span style="box-sizing: border-box;">中等关系的省份有8个，分布相对集聚，</span><span style="box-sizing: border-box;">包括相邻的内蒙古、辽宁，集中连片的</span><span style="box-sizing: border-box;">安徽、福建、江西、湖南、广西和四川；</span><span style="box-sizing: border-box;">④表现为中等—少关系的省份大多在北</span><span style="box-sizing: border-box;">方，包括河北、山西、吉林、黑龙江、云南、</span><span style="box-sizing: border-box;">宁夏和新疆7 个省区；⑤表现为少—少</span><span style="box-sizing: border-box;">关系的省份数量最多，有10个，包括相</span><span style="box-sizing: border-box;">邻的北京、天津两大直辖市，集中连片</span><span style="box-sizing: border-box;">的重庆、贵州、西藏、陕西、甘肃和青</span><span style="box-sizing: border-box;">海6省(市、区)，以及相对孤立的上海</span><span style="box-sizing: border-box;">和海南。总体而言，表现出一致性关系</span><span style="box-sizing: border-box;">的21个省(市、区) 居于主导地位，占</span><span style="box-sizing: border-box;">中国内地31个省(市、区) 的2/3以上。</span><br  /></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><img data-ratio="0.844186" data-w="430" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMYI297qfibKMugvmh2ZS8SnMCmzspeibnl0RjZyQINAD0glrAs4j3GOicQ/640?wx_fmt=png" data-type="png" style="vertical-align: middle;box-sizing: border-box;"  /><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><br  /></section></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">2.空间关联格局特征</p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">研究借助GeoDa1.12 软件，采用二<span style="box-sizing: border-box;">进制邻接空间权重矩阵对国家园林城市</span><span style="box-sizing: border-box;">与国家森林城市的分省数量分别进行全</span><span style="box-sizing: border-box;">局空间自相关分析，计算得到两者的全</span><span style="box-sizing: border-box;">局Moran's I 指数分别为0.146、0.105，</span><span style="box-sizing: border-box;">正态统计量Z 值分别为2.338、1.722，</span><span style="box-sizing: border-box;">指数均为正值且分别通过了0.05 水平、</span><span style="box-sizing: border-box;">0.1 水平的显著性检验，表明两者均存在</span><span style="box-sizing: border-box;">显著的空间依赖性，即各省份两类城市</span><span style="box-sizing: border-box;">的空间分布并非显示出完全的随机性，</span><span style="box-sizing: border-box;">包含两类城市数量相近的省份在空间分</span><span style="box-sizing: border-box;">布上呈聚集态势，其中国家园林城市分</span><span style="box-sizing: border-box;">布的正自相关性更强，也更为显著。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">由于全局指标有时会掩盖局部的空<span style="box-sizing: border-box;">间不稳定性，研究进一步引入LISA 聚类</span><span style="box-sizing: border-box;">图用于探测国家园林城市与国家森林城</span><span style="box-sizing: border-box;">市分省数量的局域自相关性。由图3可知，</span><span style="box-sizing: border-box;">国家园林城市分布的局部空间关联类型</span><span style="box-sizing: border-box;">有高—高、低—高和高—低3类( 在0.05</span><span style="box-sizing: border-box;">水平上显著)，其中与周边省份表现为高—</span><span style="box-sizing: border-box;">高聚类关系的省份集中连片分布在华</span><span style="box-sizing: border-box;">东及华中地区，包括江苏、浙江、安徽、</span><span style="box-sizing: border-box;">江西和河南5 省；表现为低－高聚类关</span><span style="box-sizing: border-box;">系的地区只有1个，为上海；表现为高—</span><span style="box-sizing: border-box;">低聚类关系的省份也仅有四川1个。</span><span style="text-indent: 2em;">国家森林城市分省数量空间聚类关系的</span><span style="text-indent: 2em;box-sizing: border-box;">类型及其对应省份与国家园林城市有很</span><span style="text-indent: 2em;box-sizing: border-box;">强的一致性，两者的区别仅在于被高值</span><span style="text-indent: 2em;box-sizing: border-box;">聚集区包围的低值“洼地”数量有所不同，</span><span style="text-indent: 2em;box-sizing: border-box;">国家园林城市分布的“洼地”仅有上海</span><span style="text-indent: 2em;box-sizing: border-box;">一处，而国家森林城市的“洼地”包含</span><span style="text-indent: 2em;box-sizing: border-box;">了上海和重庆两处(图3)。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="box-sizing: border-box;"></span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.5448276" data-w="580" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMv2QGjVwfficNeS3jQq59amdic1icmcCBSiaia70Fd1xiaoO6FZXPict7QN42w/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="margin: 0.5em 0px;text-align: left;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">（二）国家园林城市与国家森林城市空间格局影响因素比较</p></section><section style="height: 2px;width: 100%;background-color: rgb(0, 0, 0);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">1.<span style="box-sizing: border-box;">基于探索性回归的影响因素</span><span style="box-sizing: border-box;">构成比较</span></p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">由表3可知，两类城市的回归模型<span style="box-sizing: border-box;">合格，解释力均较强。比较两类城市数</span><span style="box-sizing: border-box;">量省际分异格局的最优解释变量组合可</span><span style="box-sizing: border-box;">知：首先，设市城市数量是两类城市空</span><span style="box-sizing: border-box;">间分布的共同影响因素。可见，就省域</span><span style="box-sizing: border-box;">尺度而言，因两类评比表彰项目的对象</span><span style="box-sizing: border-box;">均为城市，故我国城市的分布格局也影</span><span style="box-sizing: border-box;">响了两类城市的分布格局，进而导致评</span><span style="box-sizing: border-box;">选结果的一致性。其次，除设市城市数</span><span style="box-sizing: border-box;">量这一共性因素外，国家园林城市和国</span><span style="box-sizing: border-box;">家森林城市在省域尺度的分布还分别受</span><span style="box-sizing: border-box;">人均GDP 及城市建成区绿化覆盖率的影</span><span style="box-sizing: border-box;">响，两者评选结果的差异目前正源于此。</span><span style="box-sizing: border-box;">国家园林城市的评选结果之所以还与经</span><span style="box-sizing: border-box;">济发展水平有关，可能是因为其涉及的</span><span style="box-sizing: border-box;">领域更多，对资源投入规模和保障能力</span><span style="box-sizing: border-box;">的要求更高；国家森林城市之所以还受到</span><span style="box-sizing: border-box;">城市建成区绿化覆盖率指标的影响，可能</span><span style="box-sizing: border-box;">是因为与其聚焦于城市森林建设有关。</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.302926" data-w="581" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMQRFkZD7xZ0R6eiboSJyvr9o3EAQLvpzxThlicUyricHAV5IoaqoicCGIFw/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">2.<span style="box-sizing: border-box;">基于OLS回归的影响因素作用</span><span style="box-sizing: border-box;">比较</span></p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">由表4可知，两类城市回归模型的<span style="box-sizing: border-box;">拟合性能均较好，整体显著且都存在空</span><span style="box-sizing: border-box;">间异质性，适合也需再进行GWR 分析。</span><span style="box-sizing: border-box;">比较OLS 回归结果中解释变量的系数可</span><span style="box-sizing: border-box;">知：①国家园林城市分布格局的2个解</span><span style="box-sizing: border-box;">释变量对其都具有正向作用( 均在0.01</span><span style="box-sizing: border-box;">水平上显著)，但其中设市城市数量的系</span><span style="box-sizing: border-box;">数作用强度明显大于人均GDP，是主导</span><span style="box-sizing: border-box;">影响因子。在保持人均GDP 不变时，设</span><span style="box-sizing: border-box;">市城市数量每增加1 个，国家园林城市数</span><span style="box-sizing: border-box;">量就会增加0.660 个；在保持设市城市数</span><span style="box-sizing: border-box;">量不变时，人均GDP每增加1万元，国</span><span style="box-sizing: border-box;">家园林城市数量仅会增加0.083 个。②城</span><span style="text-indent: 2em;box-sizing: border-box;">市建成区绿化覆盖率和设市城市数量2</span><span style="text-indent: 2em;box-sizing: border-box;">个解释变量与国家森林城市数量均呈正</span><span style="text-indent: 2em;box-sizing: border-box;">相关( 分别通过了0.05、0.01 水平的显</span><span style="text-indent: 2em;box-sizing: border-box;">著性检验)，但前者与因变量的关系强度</span><span style="text-indent: 2em;box-sizing: border-box;">远大于后者，是主导影响因子。在另一</span><span style="text-indent: 2em;box-sizing: border-box;">解释变量不变的情况下，城市建成区绿</span><span style="text-indent: 2em;box-sizing: border-box;">化覆盖率每上升1 个百分点，国家森林</span><span style="text-indent: 2em;box-sizing: border-box;">城市数量就会增加3.398 个；设市城市数</span><span style="text-indent: 2em;box-sizing: border-box;">量每增加1 个，国家森林城市数量仅会</span><span style="text-indent: 2em;box-sizing: border-box;">增加0.267 个。③设市城市数量虽是影</span><span style="text-indent: 2em;box-sizing: border-box;">响国家园林城市与国家森林城市省际分</span><span style="text-indent: 2em;box-sizing: border-box;">布格局的共性因素，但所起作用有差异，</span><span style="text-indent: 2em;box-sizing: border-box;">其对国家园林城市影响更强的原因可能</span><span style="text-indent: 2em;box-sizing: border-box;">与国家园林城市的设市城市数量是国家</span><span style="text-indent: 2em;box-sizing: border-box;">森林城市的2倍多有关。</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.7651246" data-w="562" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMuBrjiaPZzWd1QHTpZP6mgfRn1bRbWQ2nwiaibScQ2FoMiakXBU6AlkkU8w/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="margin-top: 10px;margin-bottom: 10px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="width: 40px;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section><section style="padding-left: 8px;padding-right: 8px;color: rgb(58, 140, 226);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">3.<span style="box-sizing: border-box;">基于GWR 模型的影响因素效应</span><span style="box-sizing: border-box;">空间分异比较</span></p></section><section style="width: 40px;text-align: right;margin-left: auto;height: 5px;line-height: 5px;box-sizing: border-box;"><section style="display: inline-block;vertical-align: middle;width: 30px;border-top: 1px dashed rgb(58, 140, 226);border-right-color: rgb(58, 140, 226);border-bottom-color: rgb(58, 140, 226);border-left-color: rgb(58, 140, 226);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 5px;height: 5px;border-radius: 50%;border-width: 1px;border-style: solid;border-color: rgb(58, 140, 226);display: inline-block;vertical-align: middle;box-sizing: border-box;line-height: 0;"><br  /></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">由表5可知，两类城市GWR模型的<span style="box-sizing: border-box;">结果可靠，与OLS模型的拟合结果均基</span><span style="box-sizing: border-box;">本一致，但国家园林城市的拟合优度都</span><span style="box-sizing: border-box;">相对更高；由于国家园林城市OLS 模型的</span><span style="box-sizing: border-box;">非稳态更显著，其GWR 模型拟合效果的</span><span style="box-sizing: border-box;">改善程度相较于国家森林城市明显更大。</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.8807018" data-w="570" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMKfyiafGHXBTCD6PryVPGtWic4q1psQp1JcJhQAWoJicyfuFMcWyHLI32w/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="box-sizing: border-box;">进一步对两类城市GWR 模型结果中</span><span style="box-sizing: border-box;">解释变量的系数进行可视化表达(图4)，</span><span style="box-sizing: border-box;">发现其效应都具有空间非平稳性，但所</span><span style="box-sizing: border-box;">呈格局特征不一，国家园林城市2 个解</span><span style="box-sizing: border-box;">释变量的空间变异程度相对更大：①人</span><span style="box-sizing: border-box;">均GDP 和设市城市数量对国家园林城市</span><span style="box-sizing: border-box;">数量的影响在全部省份都为正向，且均</span><span style="box-sizing: border-box;">在东北三省最强，显示在该区域通过提</span><span style="box-sizing: border-box;">高经济发展水平、培育新生中小城市的</span><span style="box-sizing: border-box;">措施对“创园”有更大的促进作用；人</span><span style="box-sizing: border-box;">均GDP 的作用强度虽明显弱于设市城市</span><span style="box-sizing: border-box;">数量，但回归系数的波动相对更显著，</span><span style="box-sizing: border-box;">最大值是最小值的3 倍多；人均GDP 效</span><span style="box-sizing: border-box;">应的空间异质性虽强，但变化的规律性</span><span style="box-sizing: border-box;">不明显，设市城市数量的影响在空间上</span><span style="box-sizing: border-box;">则大体呈自西南向东北梯次增强的特征。</span><span style="box-sizing: border-box;">②城市建成区绿化覆盖率、设市城市数</span><span style="box-sizing: border-box;">量与国家森林城市数量在全部省份均呈</span><span style="box-sizing: border-box;">正相关关系，但在东北三省提高城市绿化</span><span style="box-sizing: border-box;">水平和在东南地区培育新生中小城市的措</span><span style="box-sizing: border-box;">施对“创森”的推动作用相对更明显；城</span><span style="box-sizing: border-box;">市建成区绿化覆盖率的影响虽远大于设</span><span style="box-sizing: border-box;">市城市数量，但两者回归系数的波动都</span><span style="box-sizing: border-box;">不大，即空间非平稳性不突出；城市建</span><span style="box-sizing: border-box;">成区绿化覆盖率和设市城市数量效应的</span><span style="box-sizing: border-box;">空间模式虽不相同，但都表现出鲜明的</span><span style="box-sizing: border-box;">地带性特征，城市建成区绿化覆盖率表</span><span style="box-sizing: border-box;">现出东西方向上的梯次变化，设市城市</span><span style="box-sizing: border-box;">数量则是由南到北呈现出梯次变化。</span></p></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.9703316" data-w="573" src="http://mmbiz.qpic.cn/mmbiz_png/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMibFbo1XLsicRcT2EQtQxlzqicSfVBnTU8K2EjY6dAzepH8WnYP6A9gd4g/640?wx_fmt=png" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="png"  /></section></section></section></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.3692308" data-w="65" src="http://mmbiz.qpic.cn/mmbiz_gif/RFW9IrRE03Kibq7rl75WWpJMFicLkicCibnHEH9AGRZMSWYzzHs81PtryguyljtccDv6ooibZcibT5C32f4fk2bz0tpg/640?wx_fmt=gif" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="gif"  /></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;border-radius: 1em;background-color: rgb(21, 103, 167);padding: 0.3em 0.8em;color: rgb(255, 255, 255);font-size: 18px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">三</strong></p><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">结论与讨论</strong></p></section></section><section style="margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;width: 100%;border-width: 1px;border-style: solid;border-color: rgb(21, 103, 167);padding: 10px;box-shadow: rgb(0, 0, 0) 0px 0px 0px;box-sizing: border-box;"><section style="margin: 0.5em 0px;text-align: left;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">（一）结论</p></section><section style="height: 2px;width: 100%;background-color: rgb(0, 0, 0);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">研究采用数理统计和空间自相关分<span style="box-sizing: border-box;">析等方法，对国家园林城市与国家森林</span><span style="box-sizing: border-box;">城市空间格局特征进行比较分析；综合</span><span style="box-sizing: border-box;">应用探索性回归、OLS回归和GWR模型，</span><span style="box-sizing: border-box;">对两类城市分布的影响因素进行深入比</span><span style="box-sizing: border-box;">较。本文得出结论如下：</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(1) 两类城市在省域尺度的分布都呈<span style="box-sizing: border-box;">不均衡和正相关特征，空间分异格局和</span><span style="box-sizing: border-box;">局部关联格局的相似性强。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(2) 国家森林城市数量的省际分异主<span style="box-sizing: border-box;">要受城市建成区绿化覆盖率因素的影响，</span><span style="box-sizing: border-box;">也与设市城市数量有关；国家园林城市</span><span style="box-sizing: border-box;">则主要受设市城市数量影响，还与人均</span><span style="box-sizing: border-box;">GDP 有关。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(3) 就省域尺度而言，因两类评比表<span style="box-sizing: border-box;">彰项目的对象均为城市，故我国城市的</span><span style="box-sizing: border-box;">分布格局也影响了两类城市的分布格局，</span><span style="box-sizing: border-box;">进而导致评选结果的一致性。由此可见，</span><span style="box-sizing: border-box;">在省域尺度上两类城市评选结果的一致</span><span style="box-sizing: border-box;">性与评选标准无关，但与申报范围有关。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">(4) 两类城市影响因素的效应都具有<span style="box-sizing: border-box;">程度不等的空间异质性，且所呈的格局</span><span style="box-sizing: border-box;">特征不一。在“创园”“创森”中，应</span><span style="box-sizing: border-box;">因地差异化施策。</span></p></section><section style="margin: 0.5em 0px;text-align: left;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(21, 103, 167);color: rgb(255, 255, 255);padding-left: 5px;padding-right: 5px;margin-bottom: 4px;letter-spacing: 1px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">（二）讨论</p></section><section style="height: 2px;width: 100%;background-color: rgb(0, 0, 0);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="box-sizing: border-box;">从严控制和规范清理涉及城市评比</span><span style="box-sizing: border-box;">表彰的各类创建活动，一直是相关政策</span><span style="box-sizing: border-box;">的主线。但由于国家园林城市属全国评</span><span style="box-sizing: border-box;">比表彰保留项目，国家森林城市评比也</span><span style="box-sizing: border-box;">被国务院列为政府内部审批事项，因此</span><span style="box-sizing: border-box;">撤销或合并“创园”“创森”活动的可</span><span style="box-sizing: border-box;">能性很小。在此背景下，考虑到两者目标、</span><span style="box-sizing: border-box;">内容和程序的相似性，建议由全国评比</span><span style="box-sizing: border-box;">达标表彰工作协调小组牵头，推动两者</span><span style="box-sizing: border-box;">的主管部门尽快建立起协同联动机制，</span><span style="box-sizing: border-box;">如建立评审管理信息共享平台，对考核</span><span style="box-sizing: border-box;">程序进行再造和优化，对相同考核指标</span><span style="box-sizing: border-box;">的数据实行交换和互认等。同时，进一</span><span style="box-sizing: border-box;">步增强两类城市在建设范围和内容等方</span><span style="box-sizing: border-box;">面的区分度，如国家园林城市的建设宜</span><span style="box-sizing: border-box;">聚焦于城市规划区内的园林绿化建设和</span><span style="box-sizing: border-box;">人居环境改善，国家森林城市的建设宜</span><span style="box-sizing: border-box;">以城市规划区外森林生态网络体系的构</span><span style="box-sizing: border-box;">建为主要任务。此外，鼓励地方政府继</span><span style="box-sizing: border-box;">续采取包含两类城市在内的“多城联创”</span><span style="box-sizing: border-box;">工作机制，以期通过统筹规划、整合资</span><span style="box-sizing: border-box;">源和降低创建成本等措施，避免重复建</span><span style="box-sizing: border-box;">设造成财政资金浪费。</span></p><p style="text-indent: 2em;white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">关于“城市名片”的研究，应进一<span style="box-sizing: border-box;">步从大尺度的空间分析走向个案的实证</span><span style="box-sizing: border-box;">分析。就具体城市深入解析其“创园”“创</span><span style="box-sizing: border-box;">森”甚至“多城联创”的过程、空间效应</span><span style="box-sizing: border-box;">及影响机理，探讨运动式治理机制对城市</span><span style="box-sizing: border-box;">空间的塑造，是今后研究的重要方向。</span></p></section></section></section><section style="margin: 0.5em 0px;text-align: center;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="0.3692308" data-w="65" src="http://mmbiz.qpic.cn/mmbiz_gif/RFW9IrRE03Kibq7rl75WWpJMFicLkicCibnHEH9AGRZMSWYzzHs81PtryguyljtccDv6ooibZcibT5C32f4fk2bz0tpg/640?wx_fmt=gif" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="gif"  /></section></section><section style="text-align: center;margin: 10px 0%;box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;width: 95%;vertical-align: top;border-style: solid;border-width: 2px;border-radius: 0px;border-color: rgb(181, 180, 180);box-sizing: border-box;"><section style="margin: -5px 0% 5px;transform: translate3d(-5px, 0px, 0px);box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;width: 100%;vertical-align: top;background-color: rgb(252, 221, 93);padding: 5px;border-width: 0px;box-sizing: border-box;"><section style="display: inline-block;width: 100%;vertical-align: top;border-style: solid;border-width: 1px;border-radius: 0px;border-color: rgb(255, 202, 0);background-color: rgb(255, 255, 255);padding: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="margin: 10px 0% 0px;box-sizing: border-box;" powered-by="gulangu"><section style="color: rgb(100, 100, 100);font-size: 14px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">来源：2020年02期《规划师》杂志</strong><br style="box-sizing: border-box;"  /></p></section></section><section style="margin: 0px 0% 8px;box-sizing: border-box;" powered-by="gulangu"><section style="background-color: rgb(181, 180, 180);height: 2px;box-sizing: border-box;line-height: 0;"><br  /></section></section><section style="display: inline-block;width: 100%;vertical-align: top;padding: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="margin: 10px 0% 0px;box-sizing: border-box;" powered-by="gulangu"><section style="font-size: 14px;color: rgb(100, 100, 100);line-height: 1.8;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">新媒体编辑：刘晓莹</p></section></section><section style="margin: 10px 0%;box-sizing: border-box;" powered-by="gulangu"><section style="font-size: 14px;line-height: 1.8;color: rgb(100, 100, 100);box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">审读：刘芳</p></section></section></section></section></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><br style="box-sizing: border-box;"  /></p></section><section style="margin: 0.5em 0px;box-sizing: border-box;" powered-by="gulangu"><section style="padding: 5px;background-color: rgb(21, 103, 167);box-sizing: border-box;"><section style="display: inline-block;width: 100%;border-color: white;padding: 10px;border-style: solid;border-width: 1px;box-shadow: rgb(0, 0, 0) 0px 0px 0px;box-sizing: border-box;"><section style="text-align: center;color: rgb(255, 255, 255);font-size: 14px;box-sizing: border-box;" powered-by="gulangu"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">文章全文详见《规划师》2020年02期</strong></p><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;">《</strong>国家园林城市与国家森林城市空间分布特征及影响因素比较<strong style="letter-spacing: 0px;box-sizing: border-box;"><span style="letter-spacing: 0px;line-height: 1.45;box-sizing: border-box;">》</span></strong></p></section></section></section></section><section style="box-sizing: border-box;" powered-by="gulangu"><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;"><br style="box-sizing: border-box;"  /></p></section><section style="margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="width: 100%;font-size: 0px;box-sizing: border-box;"><section style="margin-left: 24px;border-bottom: 1px solid rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="float: left;margin-top: -1px;box-sizing: border-box;background-color: rgb(255, 255, 254) !important;"><section style="width: 0px;height: 8px;border-left: 1px solid rgb(156, 94, 21);margin-left: 23px;box-sizing: border-box;line-height: 0;"><br  /></section><section style="width: 16px;margin-left: 8px;box-sizing: border-box;"><section style="width: 16px;height: 8px;border-left: 1px solid rgb(156, 94, 21);border-right: 1px solid rgb(156, 94, 21);border-bottom: 1px solid rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section><section style="width: 8px;height: 16px;margin-top: -8px;border-top: 1px solid rgb(156, 94, 21);border-right: 1px solid rgb(156, 94, 21);border-bottom: 1px solid rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section></section><section style="width: 8px;height: 16px;border-top: 1px solid rgb(156, 94, 21);border-left: 1px solid rgb(156, 94, 21);margin-top: -1px;box-sizing: border-box;line-height: 0;"><br  /></section></section><section style="float: right;margin-top: -1px;box-sizing: border-box;background-color: rgb(255, 255, 254) !important;"> <section style="width: 0px;height: 8px;border-right: 1px solid rgb(156, 94, 21);margin-right: 8px;box-sizing: border-box;line-height: 0;"><br  /></section><section style="width: 16px;margin-top: -1px;box-sizing: border-box;"><section style="width: 16px;height: 8px;border-right: 1px solid rgb(156, 94, 21);border-left: 1px solid rgb(156, 94, 21);border-bottom: 1px solid rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section><section style="width: 8px;height: 16px;margin-top: -8px;margin-left: 8px;border-left: 1px solid rgb(156, 94, 21);border-bottom: 1px solid rgb(156, 94, 21);border-top: 1px solid rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section></section><section style="width: 8px;height: 16px;margin-top: -1px;margin-left: 16px;border-top: 1px solid rgb(156, 94, 21);border-right: 1px solid rgb(156, 94, 21);border-left-color: rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section></section></section><section style="clear: both;box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section><section style="width: 100%;margin: -12px 0px;padding: 0px 20px;box-sizing: border-box;"><section style="text-align: center;font-size: 14px;box-sizing: border-box;" powered-by="gulangu"><p style="margin: 0px;padding: 0px;box-sizing: border-box;"><strong style="box-sizing: border-box;"><span style="color: rgb(227, 43, 107);box-sizing: border-box;">声明</span></strong></p><p style="text-align: left;margin: 0px;padding: 0px;box-sizing: border-box;"><span style="color: rgb(132, 81, 21);box-sizing: border-box;">《规划师》杂志社微信公众订阅号（ID：）为非盈利新媒体平台，所有转发的非原创图文来源于互联网及新媒体渠道，如果所转发图文作者或其他版权所有人认为违反了您的权益，请告知我们，我们会在24小时内删除。</span></p></section></section><section style="width: 100%;margin-top: 1em;font-size: 0px;box-sizing: border-box;"><section style="float: left;margin-top: -1px;box-sizing: border-box;background-color: rgb(255, 255, 254) !important;"> <section style="width: 8px;height: 16px;border-bottom: 1px solid rgb(156, 94, 21);border-left: 1px solid rgb(156, 94, 21);margin-top: -1px;border-top-color: rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section><section style="width: 16px;margin-left: 8px;margin-top: -1px;box-sizing: border-box;"><section style="width: 8px;height: 16px;border-bottom: 1px solid rgb(156, 94, 21);border-right: 1px solid rgb(156, 94, 21);border-top: 1px solid rgb(156, 94, 21);box-sizing: border-box;line-height: 0;"><br  /></section><section style="width: 16px;height: 8px;margin-top: -8px;border-top: 1px solid rgb(156, 94, 21);border-right: 1px 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middle;max-width: 100%;box-sizing: border-box;" data-type="jpeg"  /></section></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;box-sizing: border-box;"><img data-ratio="1.2962963" data-w="1080" src="http://mmbiz.qpic.cn/mmbiz_jpg/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMEGjPCBWpe9zKeNW1hN4qh0HEUKQmbu6XcKDU5BEicu5lB85wfrNMrjA/640?wx_fmt=jpeg" style="vertical-align: middle;max-width: 100%;box-sizing: border-box;" data-type="jpeg"  /></section></section><section style="margin: 8px 0% 0px;text-align: left;transform: translate3d(40px, 0px, 0px);box-sizing: border-box;" powered-by="gulangu"><section style="display: inline-block;vertical-align: top;box-sizing: border-box;"><section style="background-color: rgb(197, 36, 36);color: rgb(255, 255, 255);font-size: 14px;padding-left: 5px;padding-right: 5px;margin-bottom: 4px;box-sizing: border-box;"><p style="margin: 0px;padding: 0px;box-sizing: border-box;">《规划师》杂志社                                    </p></section><section style="border-top: 2px dotted rgb(95, 94, 102);width: 100%;box-sizing: border-box;line-height: 0;"><section style="line-height: 0;width: 0px;"><svg viewbox="0 0 1 1" style="vertical-align:top;"></svg></section></section></section></section><section style="transform: translate3d(40px, 0px, 0px);box-sizing: border-box;" powered-by="gulangu"><section style="font-size: 12px;color: rgb(117, 114, 114);letter-spacing: 0px;line-height: 1.8;padding: 2px 0px;box-sizing: border-box;"><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">地址：广西南宁市青秀区月湾路1号南国弈园6楼</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">邮编：530029</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">邮箱：planner@21cn.net</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">网址：www.planners.com.cn</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">电话：0771-2438012</p><p style="white-space: normal;margin: 0px;padding: 0px;box-sizing: border-box;">传真：0771-2436269</p></section></section><section style="text-align: center;margin-top: 10px;margin-bottom: 10px;box-sizing: border-box;" powered-by="gulangu"><section style="max-width: 100%;vertical-align: middle;display: inline-block;line-height: 0;width: 80%;box-sizing: border-box;"><img data-ratio="0.8518519" data-w="837" src="http://mmbiz.qpic.cn/mmbiz_jpg/j8bTq15u0mjnfGRGcVI9yjkYnW1StBicMznVkREGl2yjs4IsBBOM7twyHd9wqvsv7CEaedplzuwsjcUPjVSVC2Q/640?wx_fmt=jpeg" style="vertical-align: middle;max-width: 100%;width: 100%;box-sizing: border-box;" width="100%" data-type="jpeg"  /></section></section></section><section style="height: 16px;box-sizing: border-box;"><section style="height: 100%;width: 24px;float: left;border-bottom: 6px solid rgb(21, 103, 167);border-left: 6px 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