I enjoy the power of story-telling by a map. Data can be so cold and boring that we almost forget that they come from our lives and the living world around us. Maps, however, brings data to our eyes by the form of an image, a story. This is why I fell in love with maps and became an amateur cartographer. Here is a small collection of my work from my past research and coursework. I am dedicated to make more maps of passion and curiosity, so stay tuned for more interesting maps!
Canopy loss is measured from difference in Digital Surface Model data pre- and post-fire. (Data: USGS 3Digital Elevation Program flown [FEMA 2017], Digital Surface Model from drone.)Using Ordinary Least Squares Regression (OLS) and Geographically Weighted Regression (GWR) to find spatial patterns of black-tailed deer sightings. (Data: Mendocino deer sighting point data [Esri]; county boundary)Site suitability analysis of Ixodes pacificus, the western black-legged tick. Model 1 and 2 are simple multi-criteria suitability models with binary inputs. Model 3, 4, 5 are Weighted Sum models, whose prioritized factors are elevation, rainfall and canopy cover respectively. (Data: 30m DEM [Living Atlas]; Land Cover raster data [NLCD]; climate data [WorldClim.org])
