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CAST: Data Analysis for Space and Time wxPython c/c++ extensions CAST Scipy PySAL The think tank RAND reports “CAST is quite impressive. Because no known program offers the capabilities in CAST, crime analysts may find this geospatial software tool a valuable addition to their toolkit.” It has been used in top universities, including Harvard, MIT, etc.

CAST a software for data analysis in space and time

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CAST a software for data analysis in space and time

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Page 1: CAST a software for data analysis in space and time

CAST: Data Analysis for Space and Time

wxP

yth

on

c/c+

+ex

ten

sio

ns

CAST

Scip

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PySAL

The think tank RAND reports “CAST is quite impressive. Because no known program offers the capabilities in CAST, crime analysts may find this geospatial software tool a valuable addition to their toolkit.” It has been used in top universities, including Harvard, MIT, etc.

Page 2: CAST a software for data analysis in space and time

Software Highlights

Cross-PlatformsMac OS X, Windows XP/Vista/7, Ubuntu

Less dependenciesFree installation software

Plugins framework integratedFunction/module level code reuseEasy to extend GUI design

Page 3: CAST a software for data analysis in space and time

Exploratory Data Analysis

Page 4: CAST a software for data analysis in space and time

Robbery Incidents, Heatmap, PercentileMap

Page 5: CAST a software for data analysis in space and time

Robbery Incidents, Heatmap and LISA Cluster Map

Page 6: CAST a software for data analysis in space and time

Dynamic Density Maps

Page 7: CAST a software for data analysis in space and time

Dynamic Cluster Maps

Page 8: CAST a software for data analysis in space and time

Calendar Map

Page 9: CAST a software for data analysis in space and time

Dynamic Calendar Map

Page 10: CAST a software for data analysis in space and time

Dynamic Trend Map

Page 11: CAST a software for data analysis in space and time

LISA Markov Maps

Page 12: CAST a software for data analysis in space and time

Acknowledgments

This project was supported by Award No. 2009-SQ-B9-K101 awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. The opinions, findings, and conclusions or recommendations expressed in this publication are those of the author(s) and do not necessarily reflect those of the Department of Justice.