E3S Web Conf.
Volume 101, 20192019 10th International Conference on Environmental Science and Development (ICESD 2019)
|Number of page(s)||6|
|Section||Resources and Energy|
|Published online||14 June 2019|
Data Preparation for GIS based Land Suitability Modelling: A Stepped Approach
Department of Engineering Management, College of Engineering, Prince Sultan University, Riyadh, Saudi Arabia
2 Department of Civil Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, Tronoh, Perak-Darul Ridzuan, Malaysia
3 Mehran University of Engineering & Technology, Jamshoro, 76062, Sindh, Pakistan
* Corresponding author: email@example.com
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.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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