Planning of the Geographic Information System Application to Agricultural Land Use
Journal: Journal Of Mechanical And Automation Engineering (JMAE) (Vol.1, No. 1)Publication Date: 2015-12-23
Authors : Li-Hong Juang Dan Yang; Lixin Zheng;
Page : 1-12
Keywords : Land Resources; Agriculture Land Use Planning; Geographic Information System; Database; Evaluation and Analysis;
Abstract
The land resources are an important resource for human survival; rational planning of land resources is conducive to the rational allocation and use of resources, promoting social and economic stability growth. Traditional land use planning results are generally in the form of drawings and documents, difficult to manage, and difficult to promote the public good. Traditional data management systems and methods in the face of complex systems generate vast amounts of data, especially large amounts of spatial information data, the system has been unable to efficiently handle. Therefore, in traditional data management methods cannot meet the social and economic development; we need to use information technology, new theories, new methods of agricultural land use planning. The study was conducted on agricultural land use planning in Guangdong Province in Geographic Information Systems study, which aims to make agricultural land use planning and management of information in Guangdong Province, scientific and systematic. Specific studies include: basic concepts and knowledge of geographic information systems and agricultural planning studies land; GIS how the actual space content digitizing method to explore; to build the relevant geographic information database and on the basis of agricultural land use planning GIS of the evaluation and Prediction of three parts. Purpose, background, domestic and international research profiles, GIS application in agriculture and basic application development process, from the topic of the article research methods, solutions, principles, processes and procedures digitized, implementation-dependent applications, as well as evaluation and prediction, construction and integration of database information, and other aspects of the main conclusions and recommendations are discussed.
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