Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad

The consequences of the interaction between various types of land use leads to urban development. Geographically Weighted Regression (GWR) is chosen in this field to serve as a tool to model land use changes pattern of rapid urbanization in the subject region.Overall of this study is to achieve the...

Full description

Saved in:

Bibliographic Details
Main Author:	Muhammad Arshad, Siti Hasniza
Format:	Thesis
Language:	English
Published:	2017
Online Access:	https://ir.uitm.edu.my/id/eprint/93244/1/93244.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-uitm-ir.93244
record_format	uketd_dc
spelling	my-uitm-ir.932442024-09-11T02:03:10Z Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad 2017 Muhammad Arshad, Siti Hasniza The consequences of the interaction between various types of land use leads to urban development. Geographically Weighted Regression (GWR) is chosen in this field to serve as a tool to model land use changes pattern of rapid urbanization in the subject region.Overall of this study is to achieve the aim which is to determine the land use changes in the study area using three different software, namely, ArcGIS 9.3, GWR 4.0 and SAM v 4.0. This task is to produce land used map for two different years which is 2000 and 2010.Two study area is chosen, namely, Kuala Langat and Taiping in Malaysia which experienced rapid development. It is found that the SAM v 4.0 seems to map land used map with high accuracy using Adjusted R² indicators (98%). The validation process for SAM v 4.0 is carried out for year 2005. It is found that the accuracy achieved 91%. In this study the predicted land used change for the study area for the year 2015 and 2020 also documented. 2017 Thesis https://ir.uitm.edu.my/id/eprint/93244/ https://ir.uitm.edu.my/id/eprint/93244/1/93244.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Architecture, Planning and Surveying Zainal Abiden, Mohamad Zamani
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Zainal Abiden, Mohamad Zamani
description	The consequences of the interaction between various types of land use leads to urban development. Geographically Weighted Regression (GWR) is chosen in this field to serve as a tool to model land use changes pattern of rapid urbanization in the subject region.Overall of this study is to achieve the aim which is to determine the land use changes in the study area using three different software, namely, ArcGIS 9.3, GWR 4.0 and SAM v 4.0. This task is to produce land used map for two different years which is 2000 and 2010.Two study area is chosen, namely, Kuala Langat and Taiping in Malaysia which experienced rapid development. It is found that the SAM v 4.0 seems to map land used map with high accuracy using Adjusted R² indicators (98%). The validation process for SAM v 4.0 is carried out for year 2005. It is found that the accuracy achieved 91%. In this study the predicted land used change for the study area for the year 2015 and 2020 also documented.
format	Thesis
qualification_level	Master's degree
author	Muhammad Arshad, Siti Hasniza
spellingShingle	Muhammad Arshad, Siti Hasniza Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad
author_facet	Muhammad Arshad, Siti Hasniza
author_sort	Muhammad Arshad, Siti Hasniza
title	Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad
title_short	Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad
title_full	Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad
title_fullStr	Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad
title_full_unstemmed	Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad
title_sort	urban development spatial structural model using geographically weighted regression / siti hasniza muhammad arshad
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Architecture, Planning and Surveying
publishDate	2017
url	https://ir.uitm.edu.my/id/eprint/93244/1/93244.pdf
_version_	1811768767797002240

Urban development spatial structural model using geographically weighted regression / Siti Hasniza Muhammad Arshad

Similar Items