Designing basic relational database for analysis land-use change

The processing and analysis of spatial data especially land-use are becoming increasingly dependent on the methodology used in managing the data rather than only using only Geographic Information System (GIS) software. Our approach in handling spatial data for recorded land-use data using basic land...

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Main Authors:	Orawit Thinnukool, Noodchanath Kongchouy
Format:	Conference Proceeding
Published:	2018
Subjects:	Agricultural and Biological Sciences
Online Access:	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939559190&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44696
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Institution:	Chiang Mai University

id	th-cmuir.6653943832-44696
record_format	dspace
spelling	th-cmuir.6653943832-446962018-04-25T07:54:35Z Designing basic relational database for analysis land-use change Orawit Thinnukool Noodchanath Kongchouy Agricultural and Biological Sciences The processing and analysis of spatial data especially land-use are becoming increasingly dependent on the methodology used in managing the data rather than only using only Geographic Information System (GIS) software. Our approach in handling spatial data for recorded land-use data using basic land-use concept saves cost and is effective for developing land-use analysis. The aim of the study is to design and explain how land use data can be retrieved and managed by a free. The example was used to analyze land-use change, with freely available tools. These tools can handle the spatial data very well. The computation was based on the actual number of observations via Google Earth with free version on pilot area. The results demonstrate the use of normal statistics analysis for prediction in the analysis of land use change is easy to understand. 2018-01-24T04:46:44Z 2018-01-24T04:46:44Z 2015-01-01 Conference Proceeding 2-s2.0-84939559190 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939559190&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44696
institution	Chiang Mai University
building	Chiang Mai University Library
country	Thailand
collection	CMU Intellectual Repository
topic	Agricultural and Biological Sciences
spellingShingle	Agricultural and Biological Sciences Orawit Thinnukool Noodchanath Kongchouy Designing basic relational database for analysis land-use change
description	The processing and analysis of spatial data especially land-use are becoming increasingly dependent on the methodology used in managing the data rather than only using only Geographic Information System (GIS) software. Our approach in handling spatial data for recorded land-use data using basic land-use concept saves cost and is effective for developing land-use analysis. The aim of the study is to design and explain how land use data can be retrieved and managed by a free. The example was used to analyze land-use change, with freely available tools. These tools can handle the spatial data very well. The computation was based on the actual number of observations via Google Earth with free version on pilot area. The results demonstrate the use of normal statistics analysis for prediction in the analysis of land use change is easy to understand.
format	Conference Proceeding
author	Orawit Thinnukool Noodchanath Kongchouy
author_facet	Orawit Thinnukool Noodchanath Kongchouy
author_sort	Orawit Thinnukool
title	Designing basic relational database for analysis land-use change
title_short	Designing basic relational database for analysis land-use change
title_full	Designing basic relational database for analysis land-use change
title_fullStr	Designing basic relational database for analysis land-use change
title_full_unstemmed	Designing basic relational database for analysis land-use change
title_sort	designing basic relational database for analysis land-use change
publishDate	2018
url	https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84939559190&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44696
_version_	1681422607255076864

Designing basic relational database for analysis land-use change

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