Summary
Contents
Subject index
This is a proposal for a core text in geocomputation; the use of computational techniques to model and solve problems – population, environment, planning, etc etc - in spatial context. It's multi-disciplinary and inter-disciplinary so this text is a generic primer that looks at: visualisation and exploratory spatial data analysis; space time modeling; spatial algorithms; spatial regression and statistics; and decision making. The edited text is organized in five sections: 1. Introducing Applied Geocomputation; 2. Describing how the world looks; 3. Exploring movements in space; 4. Making geographical decisions; and 5. Explaining how the world works
Kernel Density Estimation and Percent Volume Contours
Kernel Density Estimation and Percent Volume Contours
Introduction
This chapter presents a method for making geographical decisions about services based on the spatial distribution of their users, particularly in terms of analysing existing systems of service provision. Many commercial companies and public services operate in a location-based way, and anyone who wants to use such services has to physically visit them. Young people have to go to school to learn; ill people need to visit a doctor's surgery or hospital (Chapters 11 and 13) to receive treatment; and hungry people might choose to visit a supermarket to buy food. Each of these services is effectively in competition with each other for pupils, patients, customers and consumers. Making sure that services ...
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