{"id":206,"date":"2020-07-15T17:26:01","date_gmt":"2020-07-15T17:26:01","guid":{"rendered":"https:\/\/gisplugin.geohealth.tw\/technologies-services\/water-geothermal\/"},"modified":"2023-08-31T10:55:18","modified_gmt":"2023-08-31T02:55:18","slug":"qgis-gwr","status":"publish","type":"page","link":"https:\/\/gisplugin.geohealth.tw\/zh\/plugin-introduction\/qgis-gwr\/","title":{"rendered":"QGIS – GWR"},"content":{"rendered":"\n
<\/div>
<\/div>
\n
<\/div><\/div>\n\n\n
\r\n

GWR<\/mark><\/h1> <\/div>\r\n \n\n\n
\n\n\n
\r\n

\"\"<\/sub> \u9700\u4e0b\u8f09\u8edf\u9ad4 – QGIS & R<\/h3> <\/div>\r\n \n\n\n

\u203b \u9069\u7528\u7248\u672c QGIS 3.16 \uff1b R 3.0.0 \u4ee5\u4e0a<\/p>\n\n\n\n

<\/div><\/div>\n\n\n\n
\n
\u7a0b\u5f0f\u6a94\u4e0b\u8f09<\/strong><\/a><\/div>\n\n\n\n
\u7bc4\u4f8b\u8cc7\u6599\u4e0b\u8f09<\/strong><\/a><\/div>\n<\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n
<\/div><\/div>\n<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n
\n
\n

\u2160. \u4ecb\u7d39<\/mark><\/a><\/strong> <\/p>\n<\/div>\n\n\n\n

\n

\u2161.  \u5b89\u88dd\u6d41\u7a0b<\/mark><\/a><\/strong><\/p>\n<\/div>\n\n\n\n

\n

\u2162. \u4f7f\u7528\u6b65\u9a5f<\/mark><\/a><\/strong><\/p>\n<\/div>\n<\/div>\n\n\n\n

<\/div><\/div>\n\n\n\n
\n
<\/div><\/div>\n\n\n\n

\u2160.<\/mark> \u4ecb\u7d39<\/mark><\/strong><\/p>\n\n\n\n

GWR<\/mark><\/strong><\/p>\n\n\n\n

GWR ( Geographically Weighted Regression ) \u5730\u7406\u52a0\u6b0a\u56de\u6b78\uff0c\u70ba\u5730\u7406\u8cc7\u8a0a\u79d1\u5b78\uff08GIS\uff09\u4e2d\u63a2\u8a0e\u7a7a\u9593\u6578\u64da\u95dc\u4fc2\u7684\u7d71\u8a08\u65b9\u6cd5\u3002<\/p>\n\n\n\n

\u5728\u73fe\u5be6\u751f\u6d3b\u4e2d\uff0c\u67d0\u4e9b\u73fe\u8c61\u53ef\u80fd\u56e0\u5730\u7406\u4f4d\u7f6e\u7684\u4e0d\u540c\u800c\u6539\u8b8a\uff0c\u4f8b\u5982\uff0c\u623f\u50f9\u53ef\u80fd\u53d7\u6240\u5728\u57ce\u5e02\u7684\u7279\u5b9a\u56e0\u7d20\u5f71\u97ff\uff0c\u6545\u76f8\u8f03\u50b3\u7d71\u8ff4\u6b78\u6a21\u578b\u4e2d\u6240\u5047\u8a2d\u6bcf\u500b\u89c0\u6e2c\u503c\u9593\u7684\u95dc\u4fc2\u90fd\u662f\u56fa\u5b9a\u4e14\u4e0d\u96a8\u7a7a\u9593\u4f4d\u7f6e\u8b8a\u5316\uff0cGWR \u8003\u91cf\u5230\u5730\u7406\u4f4d\u7f6e\u5c0d\u65bc\u6a21\u578b\u53c3\u6578\u7684\u8b8a\u5316\u3002<\/p>\n\n\n\n

\u4e3b\u8981\u7279\u9ede\uff1a<\/p>\n\n\n\n

1.\u8003\u91cf\u5730\u7406\u4f4d\u7f6e<\/strong><\/mark>\uff1a\u6bcf\u500b\u5730\u7406\u4f4d\u7f6e\u90fd\u6709\u4e00\u500b\u8ff4\u6b78\u65b9\u7a0b\u5f0f\uff0c\u4e14\u5141\u8a31\u6a21\u578b\u53c3\u6578\u5728\u7a7a\u9593\u4e0a\u8b8a\u5316\u3002<\/p>\n\n\n\n

2.\u6b0a\u91cd\u51fd\u6578<\/strong><\/mark>\uff1a\u4f7f\u7528\u5730\u7406\u4f4d\u7f6e\u52a0\u6b0a\u8a08\u7b97\u6bcf\u500b\u4f4d\u7f6e\u7684\u8ff4\u6b78\u53c3\u6578\uff0c\u8d8a\u8fd1\u7684\u89c0\u6e2c\u503c\u5c0d\u8a72\u4f4d\u7f6e\u7684\u8ff4\u6b78\u53c3\u6578\u5f71\u97ff\u8d8a\u5927\u3002<\/p>\n\n\n\n

3.\u6a21\u578b\u89e3\u91cb<\/strong><\/mark>\uff1a\u53ef\u7522\u751f\u53c3\u6578\u7684\u5730\u5716\uff0c\u986f\u793a\u67d0\u4e00\u7279\u5b9a\u53c3\u6578\u5982\u4f55\u96a8\u5730\u7406\u4f4d\u7f6e\u800c\u8b8a\u5316\uff0c\u5229\u65bc\u89e3\u91cb\u7a7a\u9593\u8b8a\u7570\u6027\u3002<\/p>\n\n\n\n

4.\u8907\u96dc\u5ea6\u8f03\u9ad8<\/strong><\/mark>\uff1a\u6709\u52a9\u65bc\u63a2\u8a0e\u7a7a\u9593\u8b8a\u7570\u6027\uff0c\u9700\u8a55\u4f30\u662f\u5426\u9700\u8981\u6b64\u8907\u96dc\u5ea6\uff0c\u4ee5\u53ca\u78ba\u4fdd\u6709\u8db3\u5920\u6578\u64da\u652f\u6301\u3002<\/p>\n\n\n\n

\n\n\n\n

Plugin \u512a\u9ede<\/mark><\/strong><\/p>\n\n\n\n

1.\u64cd\u4f5c\u7c21\u55ae<\/mark><\/strong><\/p>\n\n\n\n

\u4f7f\u7528\u8005\u50c5\u9700\u8981\u5b89\u88dd R \u4ee5\u53ca QGIS \u7576\u4e2d\u5b89\u88dd Processing R Provider \u63d2\u4ef6\uff0c\u4e26\u5c07\u76f8\u95dc\u7a0b\u5f0f\u6587\u6a94\u8907\u88fd\u5230\u6307\u5b9a\u8def\u5f91\u4e0b\u5373\u53ef\u4f7f\u7528\uff0c\u5f8c\u7e8c\u82e5\u662f\u9700\u8981\u9032\u884c\u66f4\u6539\u8abf\u6574\uff0c\u53ef\u76f4\u63a5\u66f4\u6539\u7a0b\u5f0f\u6587\u6a94\u3002<\/p>\n\n\n\n

<\/div><\/div>\n\n\n\n

2.QGIS\u7e2e\u6e1b\u8b8a\u6578\u540d\u7a31\u554f\u984c<\/mark><\/strong><\/p>\n\n\n\n

QGIS \u5728\u8655\u7406\u8cc7\u6599\u6642\u6703\u5c07\u8d85\u904e\u5341\u500b\u5b57\u5143\u7684\u8b8a\u6578\u540d\u7a31\u9032\u884c\u7e2e\u6e1b\uff0c\u800c\u5728\u53c3\u6578\u9078\u55ae\u5247\u4ecd\u70ba\u539f\u672c\u5b8c\u6574\u7684\u8b8a\u6578\u540d\u7a31\uff0c\u56e0\u6b64\u5728\u9019\u500b\u7a0b\u5e8f\u4e5f\u6703\u4f9d\u7167 QGIS \u7684\u65b9\u5f0f\u5c0d\u65bc\u4f7f\u7528\u8005\u6240\u9078\u8b8a\u6578\u540d\u7a31\u9032\u884c\u7e2e\u6e1b\uff0c\u907f\u514d QGIS \u5f8c\u7aef\u8cc7\u6599\u7684\u8b8a\u6578\u548c\u4f7f\u7528\u8005\u6240\u6240\u9078\u4e0d\u540c\u6240\u5c0e\u81f4\u7684\u554f\u984c\u3002\u4e0d\u904e\u7531\u65bc QGIS \u7e2e\u6e1b\u540d\u7a31\u65b9\u5f0f\u548c\u8b8a\u6578\u9806\u5e8f\u6709\u95dc\uff0c\u56e0\u6b64\u82e5\u4f7f\u7528\u8005\u6240\u9078\u7684\u8b8a\u6578\u9806\u5e8f\u548c\u539f\u5148\u8cc7\u6599\u7684\u8b8a\u6578\u9806\u5e8f\u4e0d\u540c\u5247\u4ecd\u6703\u51fa\u73fe\u554f\u984c\u3002<\/p>\n\n\n\n

<\/div><\/div>\n<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n
\n
<\/div><\/div>\n\n\n\n

\u2161. \u5b89\u88dd\u6d41\u7a0b<\/mark><\/strong><\/p>\n\n\n\n

\n\n\n\n

Step 1 <\/mark><\/strong><\/p>\n\n\n\n

\u5b89\u88ddQGIS & R<\/p>\n\n\n\n

<\/div><\/div>\n\n\n\n

Step 2 <\/mark><\/strong><\/p>\n\n\n\n

\u958b\u555fQGIS\u5f8c\u65bc\u4e0a\u65b9\u6b04\u4f4d\u9ede\u9078\u300cPlugins\u300d > \u300cManage and install Plugins\u300d<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n

Step 3 <\/mark><\/strong><\/p>\n\n\n\n

\u641c\u5c0b\u300cProcessing R Provider\u300d\u5f8c \uff0c\u9ede\u9078 \u300cInstall Plugin\u300d > \u300c\u95dc\u9589\u300d\u3002<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

Step 4<\/mark><\/strong><\/p>\n\n\n\n

\u91cd\u555fQGIS\u5f8c\uff0c\u65bc\u4e0a\u65b9\u6b04\u4f4d\u9ede\u9078\u300cSetting\u300d > \u300cOptions\u300d\u3002<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

Step 5<\/strong><\/p>\n\n\n\n

\u9ede\u9078\u300cProcessing\u300d >\u300c Providers\u300d > \u300cR\u300d\uff0c\u8a2d\u5b9aR folder \u8def\u5f91 (\u4f8b\u5982\uff1aC:\\Program Files\\R\\R-4.3.1\uff0c\u5be6\u969b\u8def\u5f91\u53ef\u80fd\u56e0\u7cfb\u7d71\u3001\u7248\u672c\u6216\u662f\u8def\u5f91\u800c\u7570)\u3002<\/p>\n\n\n\n

\u203b\u82e5 R \u5b89\u88dd\u7248\u672c\u70ba 64 bit \uff0c\u9808\u5c07\u300cUse 64 bit version\u300d\u52fe\u9078\u3002<\/p>\n\n\n

\n
\"\"
Windows\u8a2d\u5b9a<\/figcaption><\/figure>\n<\/div>\n\n
\n
\"\"
Mac\u8a2d\u5b9a<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

Step 6<\/strong><\/p>\n\n\n\n

\u958b\u555f\u300cR scripts folder\u300d\u8cc7\u6599\u593e\u3002<\/p>\n\n\n\n

\u203b\u6b64\u8cc7\u6599\u593e\u7528\u65bc\u5b58\u653e GWR \u6216\u5176\u4ed6 R \u7a0b\u5f0f\u6a94\u6848(\u8def\u5f91\u662f\u5728 QGIS \u7684\u5b89\u88dd\u76ee\u9304\u4e0b)\u3002<\/p>\n\n\n\n

<\/div><\/div>\n\n\n\n

Step 7<\/strong><\/p>\n\n\n\n

R scripts folder \u8cc7\u6599\u593e\u4e0b\u589e\u52a0 gwr.rsx\u3001gwr.help \u7a0b\u5f0f\u6a94\u3002<\/p>\n\n\n

\n
\"\"<\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

Step 8<\/strong><\/p>\n\n\n\n

\u91cd\u555fQGIS\u5f8c\uff0c\u65bc Processing ToolBox \u78ba\u8a8d\u662f\u5426\u6210\u529f\u5b89\u88dd R \u985e\u5225\u53ca\u5176\u4e0b\u7684 GWmodel \u8cc7\u6599\u593e\u3002\u82e5\u5728 GWmodel \u985e\u5225\u4e2d\u770b\u5230 Geographical Weighted Regression \u7a0b\u5e8f\uff0c\u4e26\u80fd\u6b63\u5e38\u958b\u555f\uff0c\u5247\u8868\u793a\u5df2\u5b89\u88dd\u5b8c\u6210\u3002<\/p>\n\n\n\n

\u203b\u51fa\u73fe Geographical Weighted Regression \u7a0b\u5e8f\uff0c\u4f46\u958b\u555f\u51fa\u73fe\u554f\u984c\uff0c\u5247\u53ef\u80fd\u70ba Step 2 \u7684 R folder \u8def\u7d93\u51fa\u73fe\u554f\u984c\u3002<\/p>\n\n\n

\n
\"\"
\u8a2d\u5b9a\u5b8c\u6210\u793a\u7bc4<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n
\n
<\/div><\/div>\n\n\n\n

\u2162. \u4f7f\u7528\u6b65\u9a5f<\/mark><\/strong><\/p>\n\n\n\n

<\/div><\/div>\n\n\n\n
\n
\n

Step 1 \u8f38\u5165\u8cc7\u6599<\/strong><\/a><\/p>\n<\/div>\n\n\n\n

\n

Step 2 \u9078\u64c7\u53c3\u6578<\/strong><\/a><\/p>\n<\/div>\n\n\n\n

\n

Step 3 \u8f38\u51fa\u7d50\u679c<\/strong><\/a><\/p>\n<\/div>\n<\/div>\n\n\n\n

\n\n\n\n

Step 1 \u8f38\u5165\u8cc7\u6599<\/mark><\/strong><\/p>\n\n\n\n

\u25cf \u532f\u5165\u7a7a\u9593\u9ede\u8cc7\u6599\u6216\u9762\u8cc7\u6599<\/p>\n\n\n

\n
\"\"
GWR \u8cc7\u6599\u8f38\u5165<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cf \u532f\u5165\u8cc7\u6599\u5f8c\uff0c\u958b\u555f Geographical Weighted Regression \u7a0b\u5e8f\uff0c\u65bc Layer \u9078\u53d6\u8f38\u5165\u8cc7\u6599\u3002<\/p>\n\n\n

\n
\"\"
GWR \u9078\u64c7\u8cc7\u6599<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n
\n\n\n\n
<\/div><\/div>\n\n\n\n

Step 2 \u9078\u64c7\u53c3\u6578<\/mark><\/strong><\/p>\n\n\n\n

\u6b64\u90e8\u5206\u70ba\u4f7f\u7528\u8005\u4e3b\u8981\u64cd\u4f5c\u4ecb\u9762\uff0c\u53ef\u6839\u64da\u9700\u6c42\u9078\u64c7\u76f8\u5c0d\u61c9\u7684\u53c3\u6578\u548c\u8f38\u5165\uff0c\u4e26\u5b9a\u7fa9\u8f38\u51fa\u8cc7\u6599\u8def\u5f91\u3002<\/mark><\/p>\n\n\n\n

\u25cf \u53cd\u61c9\u8b8a\u6578<\/mark><\/strong><\/p>\n\n\n\n

\u6240\u6709\u8b8a\u6578\u55ae\u9078\u9078\u55ae\uff0c\u53ef\u4f9d\u9700\u6c42\u9078\u64c7\u76f8\u61c9\u7684\u53cd\u61c9\u8b8a\u6578\u3002<\/p>\n\n\n

\n
\"\"
GWR \u53cd\u61c9\u8b8a\u6578<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cf \u89e3\u91cb\u8b8a\u6578<\/mark><\/strong><\/p>\n\n\n\n

\u6240\u6709\u8b8a\u6578\u591a\u9078\u9078\u55ae\uff0c\u53ef\u4f9d\u9700\u6c42\u9078\u64c7\u76f8\u61c9\u7684\u89e3\u91cb\u8b8a\u6578\u3002<\/p>\n\n\n

\n
\"\"
GWR \u89e3\u91cb\u8b8a\u6578<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cf Kernel\u3001Approach \u4ee5\u53caFixed \/ Adaptive \u9078\u64c7<\/mark><\/strong><\/p>\n\n\n\n

\u9078\u64c7\u8a08\u7b97 Bandwidth \u7684\u53c3\u6578\u53ca\u5f8c\u7e8c\u6a21\u578b\u7684\u53c3\u6578<\/p>\n\n\n\n

\u25cb Kernel Funciton<\/strong> \u6e05\u55ae \u2013 Gaussian\u3001Exponential\u3001Bisquare\u3001Tricube\u3001Boxcar<\/p>\n\n\n

\n
\"\"
GWR Kernel Function \u6e05\u55ae<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cb GWR Approach<\/strong> \u6e05\u55ae \u2013 CV\u3001AIC\u3001AICc\u3001BIC<\/p>\n\n\n

\n
\"\"
GWR Approach \u6e05\u55ae<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cb Fixed or Adaptive bandwidth<\/strong><\/p>\n\n\n

\n
\"\"
Fixed or Adaptive bandwidth<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cf \u5176\u4ed6\u53c3\u6578\u9078\u64c7<\/mark><\/strong><\/p>\n\n\n\n

\u7686\u6709\u9810\u8a2d\u503c\uff0c\u53ef\u6839\u64da\u60c5\u6cc1\u81ea\u884c\u8abf\u6574\u3002<\/p>\n\n\n

\n
\"\"
GWR \u5176\u4ed6\u53c3\u6578\u9078\u64c7<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n

\u25cf \u8f38\u51fa\u8cc7\u6599\u8def\u5f91<\/mark><\/strong> ( Floder Path )<\/p>\n\n\n\n

\u9700\u6307\u5b9a\u8cc7\u6599\u8f38\u51fa\u8def\u5f91<\/p>\n\n\n

\n
\"\"
GWR \u8f38\u51fa\u8cc7\u6599\u8def\u5f91<\/figcaption><\/figure>\n<\/div>\n\n\n
<\/div><\/div>\n\n\n\n
\n\n\n\n
<\/div><\/div>\n\n\n\n

Step 3 \u8f38\u51fa\u7d50\u679c<\/mark><\/strong><\/p>\n\n\n\n

\u25cf \u6587\u6a94\u8f38\u51fa<\/mark><\/strong><\/p>\n\n\n\n

\u5728QGIS\u57f7\u884c\u7a0b\u5e8f\u904e\u7a0b\u4e2d\uff0c\u4e3b\u8981\u8f38\u51fa\u5169\u90e8\u4efd\u8cc7\u6599\uff1a<\/p>\n\n\n\n

1. \u4e0d\u540c Bandwidth \u7684\u5206\u6578\uff1a\u7531\u65bc\u5728\u53c3\u6578\u4e2d\u9078\u64c7 Fixed \u7684 Bandwidth \u4ee5\u53ca\u900f\u904e CV \u7684\u5206\u6578\u9032\u884c\u9078\u64c7\uff0c\u56e0\u6b64\u8f38\u51fa\u7d50\u679c\u6703\u6709\u4e0d\u540c\u7684 Bandwidth \u53ca\u5176\u5c0d\u61c9\u7684\u5206\u6578 ( \u53c3\u898b\u5de6\u4e0b\u5716 )\u3002<\/p>\n\n\n\n

2. \u6a21\u578b\u7684\u7d50\u679c\uff1a\u53ef\u770b\u5230\u6a21\u578b\u7684\u57fa\u672c\u8cc7\u8a0a ( \u53c3\u898b\u53f3\u4e0b\u5716 )\uff0c\u6b64\u5167\u5bb9\u6703\u540c\u6642\u8f38\u51fa\u70ba\u4e00\u4efd\u6587\u6a94\u5230\u4f7f\u7528\u8005\u6240\u8a2d\u5b9a\u7684\u8f38\u51fa\u8def\u5f91\u4e2d\u3002<\/p>\n\n\n\n

\n
\n
\"\"
GWR QGIS Bandwidth \u8f38\u51fa<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
\n
\"\"
GWR \u8f38\u51fa\u7d50\u679c<\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n

\u25cf \u8cc7\u6599\u8f38\u51fa<\/mark><\/strong><\/p>\n\n\n\n

\u57f7\u884c\u7a0b\u5e8f\u5b8c\u7562\uff0c\u6703\u5728\u4f7f\u7528\u8005\u6307\u5b9a\u7684\u8def\u5f91\u4e2d\u5efa\u7acb\u300c GWR_result \u300d\u7684\u8cc7\u6599\u593e ( \u53c3\u898b\u5de6\u4e0b\u5716 )\uff0c\u8a72\u8cc7\u6599\u593e\u5171\u6709\u5169\u5927\u90e8\u5206\u5167\u5bb9\uff1a<\/p>\n\n\n\n

1. \u300c GTWR_result.txt \u300d\uff1a\u6a21\u578b\u7684\u8cc7\u8a0a\u6587\u6a94 ( \u53c3\u898b\u53f3\u4e0b\u5716 )\u3002<\/p>\n\n\n\n

2. \u6a21\u578b\u8f38\u51fa\u7d50\u679c Shapefile\uff1a\u5305\u542b \u300c GWR_reuslt.shp \u300d\u3001\u300c GWR_result.shx \u300d\u3001 \u300cGWR_result.dbf \u300d\u4ee5\u53ca\u300c GWR_result.prj \u300d\u56db\u500b\u6a94\u6848\uff0c\u4f7f\u7528\u8005\u82e5\u8981\u4f7f\u7528\uff0c\u53ef\u5c07GWR_result.shp \u6a94\u6848\u8f38\u5165 QGIS \u4e2d ( \u53c3\u898b\u53f3\u4e0b\u5716 )\u3002\u7a0b\u5e8f\u5b8c\u6210\u5f8c QGIS \u6703\u65b0\u589e\u4e00\u500b\u5716\u5c64 Output \uff0c\u8207GWR_result.shp \u6a94\u6848\u5167\u5bb9\u76f8\u540c\uff0c\u7686\u70ba\u6a21\u578b\u8f38\u51fa\u7d50\u679c\u3002<\/p>\n\n\n\n

\n
\n
\"\"
\u6a21\u578b\u7d50\u679c\u8cc7\u6599<\/figcaption><\/figure>\n<\/div><\/div>\n\n\n\n
\n
\"\"
GWR Result \u8cc7\u6599\u593e\u5167\u5bb9<\/figcaption><\/figure>\n<\/div><\/div>\n<\/div>\n\n\n\n
<\/div><\/div>\n<\/div><\/div>\n\n\n\n
<\/div><\/div>\n\n\n\n

\u60f3\u4e86\u89e3\u66f4\u591a\uff0c\u53ef\u53c3\u8003\u4ee5\u4e0b\u8cc7\u6599\uff1a<\/p>\n\n\n\n

[1] Chan, T. C., Chiang, P. H., Su, M. D., Wang, H. W., & Liu, M. S. Y. (2014). Geographic disparity in chronic obstructive pulmonary disease (COPD) mortality rates among the Taiwan population. PloS one, 9(5), e98170.<\/p>\n\n\n\n

[2] Fotheringham, A. S., Crespo, R., & Yao, J. (2015). Geographical and temporal weighted regression (GTWR). Geographical Analysis, 47(4), 431-452.<\/p>\n\n\n\n

[3] Nugroho, W. H., & Sumarminingsih, E. (2021, March). Geographically and Temporally Weighted Regression Model with Gaussian Kernel Weighted Function and Bisquare Kernel Weighted Function. In IOP Conference Series: Materials Science and Engineering (Vol. 1115, No. 1, p. 012063). IOP Publishing.<\/p>\n\n\n\n

[4] Wu, B., Li, R., & Huang, B. (2014). A geographically and temporally weighted autoregressive model with application to housing prices. International Journal of Geographical Information Science, 28(5), 1186-1204.<\/p>\n","protected":false},"excerpt":{"rendered":"

\u2160. \u4ecb\u7d39  \u2161.  \u5b89\u88dd\u6d41\u7a0b \u2162. \u4f7f\u7528\u6b65\u9a5f \u60f3\u4e86\u89e3\u66f4\u591a\uff0c\u53ef\u53c3\u8003\u4ee5\u4e0b\u8cc7\u6599\uff1a [1] Ch […]<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":13,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_citadela_hide_page_title":"1","_citadela_remove_header_space":"1","_citadela_custom_class":"","_citadela_half_map_provider":"","_citadela_half_map_theme":"","_citadela_half_map_themeOSM":"","_citadela_half_map_customTheme":"","_citadela_half_map_dataType":"","_citadela_half_map_dynamicTrack":false,"_citadela_half_map_trackColor":"","_citadela_half_map_trackEndpointsColor":"","_citadela_half_map_filterCategory":"","_citadela_half_map_filterLocation":"","_citadela_half_map_filterFeatured":false,"_citadela_half_map_noDataBehavior":"empty-map","_citadela_half_map_noDataText":"","_citadela_half_map_clusterGridSize":80,"_citadela_header":true,"_citadela_header_over_content":true,"_citadela_header_text_color":"rgba(0, 0, 0, 1)","_citadela_header_logo":{"id":2211,"url":"https:\/\/gisplugin.geohealth.tw\/wp-content\/uploads\/2023\/08\/icon_0823_64\u00d764.png","size":{"width":64,"height":64}},"_citadela_header_bg_image":[],"_citadela_header_bg_position":{"x":0.5,"y":0.5},"_citadela_header_bg_size":"cover","_citadela_header_bg_repeat":"no-repeat","_citadela_header_bg_fixed":false,"_citadela_header_bg_color":"","_citadela_header_bg_image_overlay":"","_citadela_header_transparent_bg":true,"_citadela_content_width":"wide","_citadela_half_layout_position":"","footnotes":""},"class_list":["post-206","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/pages\/206","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/comments?post=206"}],"version-history":[{"count":131,"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/pages\/206\/revisions"}],"predecessor-version":[{"id":2399,"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/pages\/206\/revisions\/2399"}],"up":[{"embeddable":true,"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/pages\/13"}],"wp:attachment":[{"href":"https:\/\/gisplugin.geohealth.tw\/zh\/wp-json\/wp\/v2\/media?parent=206"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}