Difference between revisions of "Lesson9"

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<font size = 5; color="#FFFFFF">IS415 GeoSpatial Analytics for Business Intelligence</font>
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[[Course_information| <font color="#FFFFFF">About</font>]]
  
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[[Lesson_Plan| <font color="#FFFFFF">Weekly Session</font>]]
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[[GAProject| <font color="#FFFFFF">Geospatial Analytics Project</font>]]
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[[Course_Resources| <font color="#FFFFFF">Course Resources</font>]]
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<font size=5>Spatial Point Patterns Analysis and Applications</font>
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==Lesson Content==
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===Introduction to Spatial Point Patterns===
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*  What is Spatial Point Patterns Analysis?
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*  Analysing spatial point patterns
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*  Modelling spatial relationships
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*  Analysing spatio-temporal data
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*  Geographic Knowledge Discovery
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===Density-based Point Patterns Measures===
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* Quadrat analysis
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* Kernel density estimation
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===Distance-based Point Pattern Measures===
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*  Nearest neighbour distance
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*  G function
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*  F function
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*  K function
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*  L function
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== Hands-on Session ==
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Hands-on Exercise Week 8: Visualising and Analysing Spatial Point Patterns
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== Weekly Readings ==
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Point Pattern Analysis [http://gispopsci.org/point-pattern-analysis/]
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Spatial point pattern analysis and its application in geographical epidemiology [http://www.dpi.inpe.br/cursos/ser301/referencias/gattrel_paper.pdf]
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==Spatial Point Pattern Analysis software==
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R [http://www.r-project.org/]
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===R Packages===
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spatstat
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* Homepage [http://cran.r-project.org/web/packages/spatstat/index.html]
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* Analysing spatial point patterns in 'R' [https://research.csiro.au/software/wp-content/uploads/sites/6/2015/02/Rspatialcourse_CMIS_PDF-Standard.pdf]
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aspace [http://cran.r-project.org/web/packages/aspace/index.html]
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maptools [http://cran.r-project.org/web/packages/maptools/index.html]
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sp [http://cran.r-project.org/web/packages/sp/index.html]
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shapefiles [http://cran.r-project.org/web/packages/shapefiles/index.html]
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===Others===
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SEXTANTE for QGIS [http://sextantegis.com/]and QGIS-SEXTANTE cookbook [http://qgissextante.blogspot.sg/]
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SAGA [http://www.saga-gis.org/en/index.html]
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GRASS [http://grass.osgeo.org/] and QGIS GRASS Cookbook [http://grasswiki.osgeo.org/wiki/QGIS_GRASS_Cookbook]
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SaTScan [http://www.satscan.org/]
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==References==
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===Methods===
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Several Fundamentals in Implementing Spatial Statistics in GIS [http://www.iseis.cuhk.edu.hk/downloads/full_paper/1999-163-174.pdf]
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Open source, spatial analysis, and activity-travel behaviour research: capabilities of the ''aspace'' package [http://www.springerlink.com.libproxy.smu.edu.sg/content/t379u45k5141n5g5/fulltext.pdf]
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Kernel Density Estimation [http://en.wikipedia.org/wiki/Kernel_density_estimation]
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CrimeStat III-Part II: Spatial Description [http://www.icpsr.umich.edu/CrimeStat/files/CrimeStatChapter.4.pdf]
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CrimeStat III-Part III: Spatial Modeling[http://www.icpsr.umich.edu/CrimeStat/files/CrimeStatChapter.8.pdf]
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===Applications===
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Mapping Crime: Understanding Hot Spots [https://www.ncjrs.gov/pdffiles1/nij/209393.pdf]
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Spatial Analysis for Identifying Concentrations of Urban Damage [http://cdn.intechopen.com/pdfs-wm/10995.pdf]
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A Tale of Two Cities: Density Analysis of CBD on Two Midsize Urban Areas in Northeastern Italy[https://www.google.com.sg/url?sa=t&rct=j&q=&esrc=s&source=web&cd=1&cad=rja&uact=8&ved=0ahUKEwjtjMK14JHLAhWBSI4KHQuXC6IQFggbMAA&url=http%3A%2F%2Flink.springer.com%2Fchapter%2F10.1007%252F978-3-540-89930-3_3&usg=AFQjCNGSWz5WOTbyscNRKwiNhyh_4ZT1xg]
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Crime Mapping and Spatial Analysis in National Forests [http://fes.forestry.oregonstate.edu/sites/fes.forestry.oregonstate.edu/files/PDFs/WingTynonCrimeMappingJoF.pdf]
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Street centrality vs. commerce and service locations in cities: a Kernel Density Correlation case study in Bologna, Italy [http://arxiv.org/ftp/physics/papers/0701/0701111.pdf]
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Spatial Point Pattern Analysis for Targeting Prospective New Customers: Bringing GIS Functionality into Direct Marketing [http://citeseerx.ist.psu.edu/viewdoc/download;jsessionid=DD5A25F9CBF04B144264719D4393F3A9?doi=10.1.1.13.5926&rep=rep1&type=pdf]
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Clusters of firms in an inhomogeneous space: The high-tech industries in Milan [http://www.sciencedirect.com/science/article/pii/S0264999311000150]
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Methods for visualizing the explosive remnants of war [http://www.sciencedirect.com/science/article/pii/S0143622813001021]
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== Discussion ==

Latest revision as of 16:52, 4 March 2018

Claraview.png IS415 GeoSpatial Analytics for Business Intelligence

About

Weekly Session

Assignments

Geospatial Analytics Project

Course Resources

 


Spatial Point Patterns Analysis and Applications

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

  • 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]

Discussion

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