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| + | <font size = 5; color="#FFFFFF">IS415 GeoSpatial Analytics for Business Intelligence</font>  | ||
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| − | ==Spatial Point Patterns Analysis==  | + | | style="font-family:Century Gothic; font-size:100%; solid #1B338F; background:#2B3856; text-align:center;" width="20%" |   | 
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| + | [[GAProject| <font color="#FFFFFF">Geospatial Analytics Project</font>]]  | ||
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| + | <font size=5>Spatial Point Patterns Analysis and Applications</font>  | ||
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| + | ==Lesson Content==  | ||
===Introduction to Spatial Point Patterns===  | ===Introduction to Spatial Point Patterns===  | ||
*  What is Spatial Point Patterns Analysis?  | *  What is Spatial Point Patterns Analysis?  | ||
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Methods for visualizing the explosive remnants of war [http://www.sciencedirect.com/science/article/pii/S0143622813001021]  | Methods for visualizing the explosive remnants of war [http://www.sciencedirect.com/science/article/pii/S0143622813001021]  | ||
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== Discussion ==  | == Discussion ==  | ||
Latest revision as of 16:52, 4 March 2018
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Spatial Point Patterns Analysis and Applications
Contents
Lesson Content
Introduction to Spatial Point Patterns
- What is Spatial Point Patterns Analysis?
 - Analysing spatial point patterns
 - Modelling spatial relationships
 - Analysing spatio-temporal data
 - Geographic Knowledge Discovery
 
Density-based Point Patterns Measures
- Quadrat analysis
 - Kernel density estimation
 
Distance-based Point Pattern Measures
- Nearest neighbour distance
 - G function
 - F function
 - K function
 - L function
 
Hands-on Session
Hands-on Exercise Week 8: Visualising and Analysing Spatial Point Patterns
Weekly Readings
Point Pattern Analysis [1]
Spatial point pattern analysis and its application in geographical epidemiology [2]
Spatial Point Pattern Analysis software
R [3]
R Packages
spatstat
- Homepage [4]
 
- Analysing spatial point patterns in 'R' [5]
 
aspace [6]
maptools [7]
sp [8]
shapefiles [9]
Others
SEXTANTE for QGIS [10]and QGIS-SEXTANTE cookbook [11]
SAGA [12]
GRASS [13] and QGIS GRASS Cookbook [14]
SaTScan [15]
References
Methods
Several Fundamentals in Implementing Spatial Statistics in GIS [16]
Open source, spatial analysis, and activity-travel behaviour research: capabilities of the aspace package [17]
Kernel Density Estimation [18]
CrimeStat III-Part II: Spatial Description [19]
CrimeStat III-Part III: Spatial Modeling[20]
Applications
Mapping Crime: Understanding Hot Spots [21]
Spatial Analysis for Identifying Concentrations of Urban Damage [22]
A Tale of Two Cities: Density Analysis of CBD on Two Midsize Urban Areas in Northeastern Italy[23]
Crime Mapping and Spatial Analysis in National Forests [24]
Street centrality vs. commerce and service locations in cities: a Kernel Density Correlation case study in Bologna, Italy [25]
Spatial Point Pattern Analysis for Targeting Prospective New Customers: Bringing GIS Functionality into Direct Marketing [26]
Clusters of firms in an inhomogeneous space: The high-tech industries in Milan [27]
Methods for visualizing the explosive remnants of war [28]