Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin
Land cover changes prediction is important for a better understanding of dynamic landscape change and consciousness on the sustainable development. Geographical information system (GIS) and remote sensing have been used in this research as its consider as the most effective method in order to mon...
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| Format: | Thesis |
| Language: | English |
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2018
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| Online Access: | http://ir.uitm.edu.my/id/eprint/22532/ http://ir.uitm.edu.my/id/eprint/22532/1/TD_NUR%20AISYAH%20MOHD%20BAHARUDIN%20AP%20R%2018_5.PDF |
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uitm-22532 |
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eprints |
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uitm-225322019-01-11T01:43:25Z http://ir.uitm.edu.my/id/eprint/22532/ Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin Mohd Baharudin, Nur Aisyah Philosophy. Relation to other topics. Methodology Geographic information systems HD Industries. Land use. Labor Land cover changes prediction is important for a better understanding of dynamic landscape change and consciousness on the sustainable development. Geographical information system (GIS) and remote sensing have been used in this research as its consider as the most effective method in order to monitor the changes of the land use and land cover. The aim of this research is to forecast land use 2020 refer to land cover changes between year 1997 and 2008 using Cellular Automata (CA) and evaluate it with existing development planning land use of Perlis for 2020. The prediction of the CA model was successfully applied into this research by using modelling tools namely Methods of Land Use Change Evaluation (MOLUSCE plugin in Quantum GIS). The processing involving two stages which are the data preparation and prediction of land use. For the data land use of Perils for year 1997 and 2008 are have been classified into four (4) classes while the existing planning map for year 2020 as the reference to the prediction also have been classified equivalent with the land use classes. The validation result of the prediction shows 78% similarity with the existing Development Land Use Planning 2020, which indicates the validity of the model for the future prediction. In conclusion, based on the behavior of cells changes using CA method can be a useful tools for government planners to observe development pattern in this country and enable them to use land source in better way. 2018-12 Thesis NonPeerReviewed other en http://ir.uitm.edu.my/id/eprint/22532/1/TD_NUR%20AISYAH%20MOHD%20BAHARUDIN%20AP%20R%2018_5.PDF Mohd Baharudin, Nur Aisyah (2018) Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin. Degree thesis, Universiti Teknologi Mara Perlis. |
| repository_type |
Digital Repository |
| institution_category |
Local University |
| institution |
Universiti Teknologi MARA |
| building |
UiTM Institutional Repository |
| collection |
Online Access |
| language |
English |
| topic |
Philosophy. Relation to other topics. Methodology Geographic information systems HD Industries. Land use. Labor |
| spellingShingle |
Philosophy. Relation to other topics. Methodology Geographic information systems HD Industries. Land use. Labor Mohd Baharudin, Nur Aisyah Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin |
| description |
Land cover changes prediction is important for a better understanding of dynamic
landscape change and consciousness on the sustainable development. Geographical
information system (GIS) and remote sensing have been used in this research as its consider
as the most effective method in order to monitor the changes of the land use and land cover.
The aim of this research is to forecast land use 2020 refer to land cover changes between
year 1997 and 2008 using Cellular Automata (CA) and evaluate it with existing
development planning land use of Perlis for 2020. The prediction of the CA model was
successfully applied into this research by using modelling tools namely Methods of Land
Use Change Evaluation (MOLUSCE plugin in Quantum GIS). The processing involving
two stages which are the data preparation and prediction of land use. For the data land use
of Perils for year 1997 and 2008 are have been classified into four (4) classes while the
existing planning map for year 2020 as the reference to the prediction also have been
classified equivalent with the land use classes. The validation result of the prediction shows
78% similarity with the existing Development Land Use Planning 2020, which indicates
the validity of the model for the future prediction. In conclusion, based on the behavior of
cells changes using CA method can be a useful tools for government planners to observe
development pattern in this country and enable them to use land source in better way. |
| format |
Thesis |
| author |
Mohd Baharudin, Nur Aisyah |
| author_facet |
Mohd Baharudin, Nur Aisyah |
| author_sort |
Mohd Baharudin, Nur Aisyah |
| title |
Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin |
| title_short |
Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin |
| title_full |
Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin |
| title_fullStr |
Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin |
| title_full_unstemmed |
Forecasting spatial pattern of land cover changes using cellular automata / Nur Aisyah Mohd Baharudin |
| title_sort |
forecasting spatial pattern of land cover changes using cellular automata / nur aisyah mohd baharudin |
| publishDate |
2018 |
| url |
http://ir.uitm.edu.my/id/eprint/22532/ http://ir.uitm.edu.my/id/eprint/22532/1/TD_NUR%20AISYAH%20MOHD%20BAHARUDIN%20AP%20R%2018_5.PDF |
| first_indexed |
2023-09-18T23:08:52Z |
| last_indexed |
2023-09-18T23:08:52Z |
| _version_ |
1777418666874241024 |