Mom who Maps

My reading list on GIS has been a bit full so I tried to catch up over the weekend.  On my plate are OSM data and political boundaries of Ph. I wonder what to map next, I want something close to my heart so I chose coffee. I mapped all the hot and cold spots of cafe in the Philippines and clipped in a city-level polygon boundary. I then used Anselin Moran's I statistic to identify outliers in the clusters of cafe all over the country. Points below shows high negative z-values which means there are significantly high number of cafe in the following cities while it's neighborhood has significantly low number of cafe.  That interests me. Gives me more reason to look forward visiting those cities next. Of the 5 clusters, I have only been to Baguio and I must attest that cafe in that city has set the bar. I love the coffee that complements the cold weather. Now I wonder how the other outlier locations were also an output of the analysis. I must discover it myself...

It's only recently that I get to use hot spot analyses beyond usual work. I just realized I never really used mapping for leisure or just about anything that I find interesting. Now I plan to create more maps beyond my usual office stuff. Here are some maps that I find interesting and might need further analyses. SCHOOLS: I generated a hot spot map of all the schools in the Philippines using the recent Open Street Map data. Basically a hot spot counts the number of instances there is a school within the bounding polygon set for analysis. In this case, the bounding polygon I used are cities/municipalities. I then generated an optimized hot spot analysis that basically checks which cities has neighboring cities with higher values or lower values as themselves. It uses the Getis Ord-Gi* statistic to generate probability or p-values to quantify clustering. These clusters of high values then generates a hot spot and cluster of low values generate a cold spot.  The