GWR-PM - Spatial variation relationship analysis with Geographically Weighted Regression (GWR) - An application at Peninsular Malaysia

8th IGRSM International Conference and Exhibition on Geospatial & Remote Sensing

地球科学;计算机科学

Jamhuri, J.^1 ; Azhar, B.M.S.^2 ; Puan, C.L.^2 ; Norizah, K.^3

Faculty of Forestry, Universiti Putra Malaysia, Serdang, Selangor

43400 UPM, Malaysia^1

Deartment of Forest Management, Faculty of Forestry, Universiti Putra Malaysia, Serdang, Selangor

43400 UPM, Malaysia^2

Department of Production, Faculty of Forestry, Universiti Putra Malaysia, Serdang, Selangor

43400 UPM, Malaysia^3

关键词: Additional flexibilities;    Co-ordinate system;    Decision makers;    Extension analysis;    Geographically weighted regression;    Peat swamp forests;    Relationship analysis;    Spatial variations;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/37/1/012032/pdf
DOI  :  10.1088/1755-1315/37/1/012032

学科分类：计算机科学（综合）

来源: IOP

【 摘 要 】

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.