Khahro, S.H. and Matori, A.N. and Chandio, I.A. and Talpur, M.A.H. (2019) Data Preparation for GIS based Land Suitability Modelling: A Stepped Approach. In: UNSPECIFIED.
Full text not available from this repository.Abstract
The land suitability analysis of any facility has become a complex affair. Each aspect of the landscape has inherent properties that are, to some extent, appropriate or inappropriate for planned activities. Compliance with government guidelines, installation guidelines and customer needs has made this task more complex. Land-use suitability analysis is identifying the most suitable spatial pattern for future land uses according to specific requirements, preferences, or predictors of some activity. Land-use suitability can mean different things to different experts depending on the purpose. Geographic Information System (GIS) has proven to be a key tool in addressing these land compatibility issues. GIS is a science of analysing position information that can count several numbers of these parameters at the same time, and it can be used to identify and analyse earth compatibility for all types of physical planning. A spatial aptitude model generally corresponds to the scientific question "Where is the best location for a particular facility or business? Therefore, this paper aims to provide an intensified approach to prepare datasets and layers for such land suitability problems using GIS. This paper will be valuable to land managers in land-use planning for any facility. © 2019 The Authors, published by EDP Sciences.
Item Type: | Conference or Workshop Item (UNSPECIFIED) |
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Additional Information: | cited By 3; Conference of 10th International Conference on Environmental Science and Development, ICESD 2019 ; Conference Date: 13 February 2019 Through 15 February 2019; Conference Code:148851 |
Uncontrolled Keywords: | Environmental engineering; Land use, Customer need; Data preparation; Land suitability; Land Use Planning; Land use suitability; Physical planning; Position information; Spatial patterns, Geographic information systems |
Depositing User: | Mr Ahmad Suhairi UTP |
Date Deposited: | 10 Nov 2023 03:26 |
Last Modified: | 10 Nov 2023 03:26 |
URI: | https://khub.utp.edu.my/scholars/id/eprint/11532 |