Sample Data Sets for Illustrative Examples in:
David W S Wong and Fahui Wang, 2017, Spatial Analysis Methods, in Bo Huang (Editor in Chief) “Comprehensive Geographic Information Systems”, Thomas J Cova (Editor, Volume “Principles and Technical Designs of GIS”), Elsevier.
Posted on Jan 20, 2017
- Sample Data for “An illustrative example for centrographic measures” in Section 1: MotorTheft.zip
- Sample Data for “An illustrative example for quadrat analysis, ordered neighbor statistics and K-function” in Section 2: MotorTheftD.zip
- Sample Data for “An illustrative example for colocation analysis of two types of points” in Section 3: see the previously posted blog “A toolkit for measuring localized colocation quotient (LCLQ)”
- Sample Data for “An illustrative example for area-based spatial autocorrelation measures” in Section 4: Chi_city_LSrate.zip
- Sample Data for “An illustrative example for REDCAP and MLR methods” in Section 5: NOHomi.gdb.zip
First Released on Jan 25, 2016
Updated on Jan 10, 2017 (sample data set is updated)
Two toolkits (Localized_CLQ.exe and Global_CLQ.exe) are developed to automate the computations of Localized Colocation Quotient (LCLQ) and Global Colocation Quotient (GCLQ), respectively. The outputs also include results on corresponding statistical significance tests. Please cite:
- Wang, F., Hu, Y., Wang, S., and Li, X. 2017. Local Indicator of Colocation Quotient with a Statistical Significance Test: Examining Spatial Association of Crime and Facilities. The Professional Geographer, DOI:10.1080/00330124.2016.1157498.
Pertaining to Chapter 2, Section 2.4.1, Step 1 “[Optional: Geocoding based on street addresses]” on Page 35
Dated Jan 4, 2017
Thanks to Rob Humphrey of Boise State for alerting me of this issue. Louisiana streets file from the census website has changed. It only contains 6 fields and no longer has the address files needed for geocoding.
Therefore, you may download the Louisiana streets file with needed fields via this url:
In addition, the zip code for the 10th hospital in the address file “Hosp_Address.csv” should be 71103 instead of 71130. Please make this correction (e.g., in Notepad).
Pertaining to Chapter 2, Appendix 2B, “Estimating Travel Time Matrix by Google Maps API” on Page 42
Dated April 18, 2016
Thanks to Pooya Ghorbanizigsari of New School for alerting us of this issue. Google Maps API has changed the syntax. In the Python program file TravelTime.py under the data folder “Louisiana/Scripts”, we need to delete the “()” for latitude and longitude inputs. The line is now updated such as googletext = “http://maps.googleapis.com/maps/api/directions/xml?origin=” + str(fromY) + “,” + str(fromX) + “&destination=” + str(toY) + “,” + str(toX) + “&sensor=false”.
You may download the updated Python program file TravelTime.py via this link: http://ga.lsu.edu/blog/wp-content/uploads/TravelTime.zip