GIS USING MULTI-CRITERIA DECISION ANALYSIS FOR ASSESSMENT AND MAP-BASED INDICATORS FOR NURSERY GARDEN MANAGEMENT
Journal: International journal of ecosystems and ecology science (IJEES) (Vol.8, No. 2)Publication Date: 2018-04-10
Authors : Kübra Yazici Bahriye Gülgün Aslan;
Page : 415-428
Keywords : Land use; Indicator; GIS; Nursery garden planning;
Abstract
Planning and monitoring of landscape cannot be reduced to its outstanding features, but must take into account all its characteristics. In this context geographical information system which is used in assessment of information depending on location and place is a prominent tool for detecting the agricultural areas of nursery garden management. Information technology has an important position in both developing world and commercially growing outdoor ornamental planting sector. Owing to the location of Tokat province in middle black sea region (Turkey), fruit, vegetables and viticulture cultivation have a direct contribution to production and economy. However; the fact that ornamental planting sector of middle black sea region has underdeveloped when compared to agriculture revealed the necessity of cultivating areas for grooving outdoor ornamental plants. This study of nursery garden management in a important region is based on the Geographical Information Systems (GIS) integration of data from soil, climate, altitude, slope, aspect, water resources and transportation maps were formed. Under the spotlights of obtained data, the multi criteria decision making technique is used for detecting the outdoor ornamental plant cultivation zones. Maps showing the appropriate criteria were prepared in GIS and their weighted values were determined. The prepared these maps were done overlay analyzes and determined maps of suitable and unsuitable areas for the cultivation. It is concluded that the company dealing with ornamental plants cultivation can be considered as organized ornamental plant cultivation areas in the determined the appropriate areas.
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Last modified: 2018-04-09 01:37:46