Troy Yang
Projects About GIS
Geographic Information Systems (GIS) is a part of my undergraduate studies as well. Many times dealing with a dataset often requires data cleansing of it, and when I encounter geographic raster data I need more GIS knowledge and skills to support it. During the time I have been involved in GIS, I also have some more systematic projects and achievements.
Because of the real geographic data collected, these projects are very relevant, so if you have any questions, please feel free to send me an email.
If you follow the news, you know that because of some global climate issues, drought crisis are increasing year by year throughout the world, which has a serious impact on people's lives. Agriculture, wildfires, and water scarcity are just a few of the effects of drought. In order to get a more visual and systematic understanding of the impact of drought across the United States, and the changes in the geographic nature of drought areas over the years, I made an Eris story website, which presents the specific changes in drought from 2015-2019 in the form of maps, and the most important factors related to drought. These were processed using ArcGIS, with data from all open data portals.
Public-facing Map Applications for Drought Crisis Across the United States
The project for this item relates to the fact that, while mass shootings claim far greater attention, routine incidents of gun violence claim far greater numbers of victims. I used ArcGIS Pro to generate a raster that characterizes the likelihood of future gun violence at any given location in Central Philadelphia.
I mainly described the whole process of using the software, which is very technical in nature, because I want to document my learning process. Behind each data point a lot of information will be recorded, for example for the condition information there will be the percentage of population in college for at least 2 years, percentage of population below the age of 5 years, For example, for condition information there will be percentage of population in college for at least 2 years, percentage of population below the age of 5 years, median monthly rent in dollars, percentage of population living below the poverty level. Similar information will be used as variables in the prediction process, and it is crucial to use this data correctly.
Using data from North Philadelphia to predict crimes in Central City Area
This project is to respond the following question from police near the El Yunque cloud forest in northeastern Puerto Rico:
"They were last spotted near Luquillo’s highest peak (at an elevation of 670 meters), and we know they’re headed for the ocean. They know this area extremely well, and they’ll be in a hurry, but they certainly will not want to be sighted again, so they’ll be staying away from rivers, roads, non-forest land, and populated areas. Our best chance of catching them will be at one of the roads that they will have to cross but, to do so, we’ll have be precise. We have limited resources, so where should we lay in wait?“
The most important thing is to use the Distance option in Spatial Analysis Tools to calculate the Optimal Path As Raster.
