كتاب تطبيقات التحليل المكاني في نظم المعلومات الجغرافية Applied GIS and Spatial Analysis

  

كتاب تطبيقات التحليل المكاني في نظم المعلومات الجغرافية Applied GIS and Spatial Analysis

كتاب تطبيقات التحليل المكاني في نظم المعلومات الجغرافية Applied GIS and Spatial Analysis


تحميل كتاب تطبيقات التحليل المكاني في نظم المعلومات الجغرافية Applied GIS and Spatial Analysis ، استكمالا لسلسلة تعلم نظم المعلومات الجغرافية Learn GIS نقدم لكم في هذه المقالة تطبيقات التحليل المكاني في نظم المعلومات الجغرافية Applied GIS and Spatial Analysis ، من تأليف JOHN STILLWELL & GRAHAM CLARK.

Introduction book Applied GIS and Spatial Analysis

This e-book is an encyclopedia for Applied GIS and Spatial Analysis, as it contains 19 main topics, these topics are divided into many sub-topics, all in 403 pages, and these some topics are covered in the book Applied GIS and Spatial Analysis:-

As the value of geographic information systems (GIS) has become more evident to researchers and practitioners in an expanding array of disciplines, the demand for spatial analysis, spatial modelling and spatial statistics has witnessed substantial growth. Although the early benefits of GIS derived primarily from their ability to store, retrieve and display spatial information, GIS is now increasingly used in the analysis of spatial data. The addition of modules such as Spatial Analyst and Geostatistical Analyst to ArcView, and Spatial Statistics to S-PLUS represent examples of how vendors are beginning to meet the needs of the new marketplace for geographical analysis. The effects of these changes vary from one subfield to another. In epidemiology, the use of spatial modelling and spatial statistics has soared in recent years. Many new methods for the statistical assessment and modelling of spatial patterns have been developed recently (e.g., Elliot et al., 2000; Lawson et al., 1999; Lawson, 2001). In crime analysis, the development of new statistical methods has perhaps been less apparent, but the use of GIS by police agencies as well as by other local government agencies has been much more widespread than in public health and epidemiology.

This chapter demonstrates how recent advances in spatial statistical analysis may be used in the context of crime analysis. Section 9.2 provides a brief description of the burglary data (from Buffalo, New York) that will be used to illustrate the various methods. Section 9.3 describes several alternative approaches to detecting geographic patterns in the data, and in each case the approach is illustrated by using the burglary data.
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