三调与二调图斑叠加分析，筛选不同地类面积占比，筛选举证图斑

主要步骤：

1. 标识数据，叠加分析，用标识，生成所有相交图斑，属性有原图斑的地类和国家的地类，以及原图斑的面积。，
2. 生成的面域，增加4个字段（图斑的三调一级类，图斑的国家NYYPDL，是否相同，标识后的图斑面积），转换三调地类为二调的一级类，转换国家地类为二调一级类。
3. 计算两个地类是否相同，相同就把是否相同这个字段填写相同，不同就填不同。
4. 导出所有不同的细碎图斑，计算图斑面积等于SHAPE面积
5. 根把原图斑号，融合细碎图斑，汇总细碎图斑的面积
6. 添加一个字段，计算细碎图斑的面积占比。或者面积周长比等，用于进一步筛选，是否需要举证。

处理三调图斑属性，删掉不要的字段，把三调图斑的图斑编号，用计算字段，计算一下，赋ID，这样不重复，用于最后的合并，增中一个三调图斑面积字段，计算等于SHAPE.AREA

叠加分析，标识工具

添加转换地类的字段，用字段计算器

{"0101":"01","0102":"01","0103":"01","05H1":"20","0508":"20","06H1":"20","0601":"20","0602":"20","0701":"20","0702":"20","08H1":"20","08H2":"20","0808":"20","0809":"20","09":"20","1004":"20","1005":"20","1201":"20","0201":"02","0202":"02","0203":"02","0204":"02","0301":"03","0302":"03","0303":"03","0304":"03","0305":"03","0306":"03","0307":"03","0401":"04","0402":"04","0403":"04","0404":"04","1001":"10","1002":"10","1003":"10","1006":"10","1007":"10","1008":"10","1009":"10","1101":"SM","1102":"SM","1103":"SM","1104":"SM","1105":"SM","1106":"SM","1107":"SM","1109":"SM","1110":"SM","1201":"12","1202":"12","1203":"12","1204":"12","1108":"12","1205":"12","1206":"12","1207":"12"}[ !DLBM! ]

代码中括号内为三调转二调一级地类对应字典表，如果有缺少的，可以自己添加，

{"0101":"01","0102":"01","0103":"01","05H1":"20","0508":"20","06H1":"20","0601":"20","0602":"20","0701":"20","0702":"20","08H1":"20","08H2":"20","0808":"20","0809":"20","09":"20","1004":"20","1005":"20","1201":"20","0201":"02","0202":"02","0203":"02","0204":"02","0301":"03","0302":"03","0303":"03","0304":"03","0305":"03","0306":"03","0307":"03","0401":"04","0402":"04","0403":"04","0404":"04","1001":"10","1002":"10","1003":"10","1006":"10","1007":"10","1008":"10","1009":"10","1101":"SM","1102":"SM","1103":"SM","1104":"SM","1105":"SM","1106":"SM","1107":"SM","1109":"SM","1110":"SM","1201":"12","1202":"12","1203":"12","1204":"12","1108":"12","1205":"12","1206":"12","1207":"12","011":"01","012":"01","013":"01","20":"20","021":"02","022":"02","023":"02","031":"03","032":"03","033":"03","041":"04","042":"04","043":"04","101":"10","102":"10","104":"10","105":"10","106":"10","107":"10","111":"SM","112":"SM","113":"SM","114":"SM","115":"SM","116":"SM","117":"SM","118":"SM","119":"SM","121":"12","122":"12","123":"12","124":"12","125":"12","126":"12","127":"12","CK":"CK","DT":"DT","JZ":"JZ","SM":"SM","YH":"YH","03/04":"03/04","01":"01","02":"02","03":"03","04":"04","203":"20","204":"20","1003":"10","1109":"SM",}[ !NYYPDL! ]

计算国家地类转换，我加了三调转二调一级的，和本身NYYPD出现的一些地类。如果还有缺少，可以手动添加字典表，国家NYYPD的填写，好像没有什么规律，如果报错了，可以看一下是缺少哪一个，手动添加就可以。

计算是否相同字段，勾上代码块，定义函数，下面调用函数

def demo(dldm, gjdm):

   answer="不同"

   if dldm ==gjdm:

      answer="相同"

   return answer

demo( !SDDL_ZH! , !GJDL_ZH! )

粘贴时注意代码的缩进

HZMJ字段，赋值图形的面积，用于后面融合时汇总

导出所有不同的细碎图斑，如果沟渠和路不要的话，也可以去掉。用定义查询，然后导出SHP。

导出后，对地类不同的细碎图斑进行融合，融合字段选tbbh，这样原来相同的图斑号的细碎图斑就可以重新融合，统计字段，把TBBH，统计FIRST，HZMJ，统计SUM。其它看情况需要。

融合后，添加数据，添加字段，计算面积占比或者其它的。如果不需要计算的话，可以根据SUM_HZMJ字段，排序，根据不同地类的面积要求，来筛选需要举证的范围。