Название: Agent-Based Modelling and Geographical Information Systems: A Practical Primer
Автор: Andrew Crooks, Nick Malleson, Ed Manley
Издательство: SAGE Publications
Год: 2019
Страниц: 409
Язык: английский
Формат: pdf (true)
Размер: 21.9 MB
This is the era of Big Data and computational social science. It is an era that requires tools which can do more than visualise data but also model the complex relation between data and human action, and interaction. Agent-Based Models (ABM) - computational models which simulate human action and interaction – do just that. This textbook explains how to design and build ABM and how to link the models to Geographical Information Systems. It guides you from the basics through to constructing more complex models which work with data and human behaviour in a spatial context. All of the fundamental concepts are explained and related to practical examples to facilitate learning (with models developed in NetLogo with all code examples available on the accompanying website). There are several open source GIS packages now available, the most popular being Quantum GIS (QGIS). QGIS offers much of the same basic functionality as ArcGIS - the ability to create, edit, analyse and visualise geographical information (via its plugins) - but without the cost or restriction to a specific operating system. Another open source product is GRASS. There is also a growing body of tools and packages in R and Python (e.g. PySAL (Python Spatial Analysis Library)) which allow for spatial data handling, analysis and the visualisation of geographical information.