DoktoraAçık Erişim

İzmir'de ormancılığın etkin ve verimli bir şekilde geliştirilmesine yönelik bir karar destek sisteminin oluşturulması

2008
0 görüntülenme
0 i̇ndirme
Danışman: Doç. Dr. Vahap Tecim

Özet (EN)

Information systems and information technologies are very essential concepts of today?s information society. Spatial Information Systems and technologies of Geographical Information Systems (GIS), and Remote Sensing (RS) have become very important component of decision making in ecosystem management, natural resource management and other application areas. GIS provides resource managers with tools to use in understanding and analyzing a forest and allow decision-makers to visualize and integrate data better. As the forest planning process becomes increasingly complicated, there is a need for assisting forest planners with operative tools. The combined use of GIS and Operations Research (OR) give forest managers the chance to visualize solutions proposed by OR and to get a better understanding of the problem they confront.It is aimed to develop an effective and efficient decision support system for İzmir Forest Administration Chief Office by this thesis. For this reason, it is attempted to initiate steps of contemporary forest management by developing database based on digital maps. Prototype study that integrates GIS and OR is presented and in order to facilitate forest management decision process of directorates several analyses are done. These analyses can be summarized as, queries, location set covering problem (LSCP), spatial multi criteria decision analyses, road analyses, the shortest path analysis, clustering analysis, development of a new clustering algorithm and finally creation of a new menu in MapInfo. MapInfo, MapBasic, Vertical Mapper and IDRISI software packages are used for analyses.

Yazar

Dr. Nurcan Temiz

Bu Yayına Nasıl Atıf Yapılır

Nurcan Temiz (Doctorate thesis). İzmir'de ormancılığın etkin ve verimli bir şekilde geliştirilmesine yönelik bir karar destek sisteminin oluşturulması, 2008, Dokuz Eylül University, İstatistik Bölümü.

Lisans

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Dokuz Eylül University tezlerinden daha fazlası