GWR-PM - Spatial variation relationship analysis with Geographically Weighted Regression (GWR) - An application at Peninsular Malaysia
GWR-PM has been developed exclusively for decision makers in Peninsular Malaysia and the purpose is to provide them with additional flexibility in analysing spatial variation. While GWR extension analysis in ArcMap application has a universal coordinate system, GWR-PM is specifically designed with P...
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| Veröffentlicht in: | IOP conference series. Earth and environmental science 2016-06, Vol.37 (1), p.12032 |
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| container_title | IOP conference series. Earth and environmental science |
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| creator | Jamhuri, J Azhar, B M S Puan, C L Norizah, K |
| description | GWR-PM has been developed exclusively for decision makers in Peninsular Malaysia and the purpose is to provide them with additional flexibility in analysing spatial variation. While GWR extension analysis in ArcMap application has a universal coordinate system, GWR-PM is specifically designed with Peninsular Malaysia's coordinate system of Kertau RSO Malaya Meter. This paper presents the development of GWR-PM model by using a model builder, the application of which is to examine the forest fire risk at North Selangor Peat Swamp Forest. This model can be extended and improved by using ArcGIS language of phyton. |
| doi_str_mv | 10.1088/1755-1315/37/1/012032 |
| format | Article |
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| ispartof | IOP conference series. Earth and environmental science, 2016-06, Vol.37 (1), p.12032 |
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| source | IOP Publishing Free Content; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; IOPscience extra |
| subjects | Coordinates Forest fires Peat Spatial analysis Spatial variations |
| title | GWR-PM - Spatial variation relationship analysis with Geographically Weighted Regression (GWR) - An application at Peninsular Malaysia |
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