Download Spatial microsimulation with R by Robin Lovelace, Morgane Dumont PDF
By Robin Lovelace, Morgane Dumont
Generate and research Multi-Level information
Spatial microsimulation includes the new release, research, and modeling of individual-level facts allotted to geographical zones. Spatial Microsimulation with R is the 1st sensible ebook to demonstrate this method in a contemporary statistical programming language.
Get perception into complicated Behaviors
The e-book progresses from the rules underlying inhabitants synthesis towards extra advanced matters akin to loved ones allocation and utilizing the result of spatial microsimulation for agent-based modeling. This equips you with the talents had to follow the recommendations to real-world events. The booklet demonstrates equipment for inhabitants synthesis by way of combining person and geographically aggregated datasets utilizing the hot R applications ipfp and mipfp. This technique represents the "best of either worlds" by way of spatial answer and person-level element, overcoming problems with facts confidentiality and reproducibility.
Implement the tools by yourself Data
Full of reproducible examples utilizing code and knowledge, the booklet is acceptable for college students and utilized researchers in well-being, economics, shipping, geography, and different fields that require individual-level information allotted to small geographic zones. by means of explaining how one can use instruments for modeling phenomena that modify over house, the ebook complements your wisdom of complicated structures and empowers you to supply evidence-based coverage guidance.
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Additional resources for Spatial microsimulation with R
Example text
3 Projects . . . . . . . . . . . . . . . . . . . . . . . . . 4 Downloading data for the book . . . . . . . . . . . . . SimpleWorld data . . . . . . . . . . . . . . . . . . . . . . . . Generating a weight matrix . . . . . . . . . . . . . . . . . . . Spatial microdata . . . . . . . . . . . . . . . . . . . . . . . . SimpleWorld in context . . . . . . . . . . . . . . . . . . .
Chapter summary . . . . . . . . . . . . . . . . . . . . . . . . 33 34 34 35 38 38 39 41 43 44 The purpose of this chapter is to demystify the various interpretations and uses of the term ‘spatial microsimulation’ and to define clearly what we mean by it in this book. 2). 2) describes the differences between spatial microsimulation and other fields that could seem similar. 3) explores various academic and real-world applications.
However, spatial microsimulation is an appropriate label for the material covered in this book because it is already widely used and because it succinctly conveys the main elements of the approach: • Spatial microsimulation is inherently concerned with how things vary over space, not just between individuals, groups or periods of time: this is what distinguishes spatial microsimulation from the wider field of microsimulation. • Spatial microsimulation explores issues at the individual level, as implied by the word micro.