These projects were executed with the help of a variety of programs,
including RStudio, ArcGIS, QGIS, Inkscape, GIMP, MATLAB, and GeoDa.
Through these experiences, I gained valuable expertise in working with
both vector and raster data.
The links below can be used to view the code and process used to
create the outputs.
The Impact of COVID-19 in Wildfire Impacted Areas
- Understanding whether or not a change in the average of COVID-19
cases is related to the presence of a wildfire nearby.
- Used anonymous GPS pings from mobile devices of an area to track
population flow patterns utilizing Rstudio and ArcGis.

Distribution of the Land Cover Change in Delhi, India
- Visualized the rate of change in land cover for Dehli.
- Raster data was used in Rstudio.
Raster Analysis: Land Use in California
- Utilized raster data and satellite imagery to differentiate between
various forms of land use in QGIS.

Distribution of COVID-19 cases in CA
- Vector data was collected from multiple sources and used in QGIS to
create this map.

Distribution of COVID-19 Deaths in CA
-Vector data was collected from multiple sources and used in QGIS to
create this map.

Distribution of CA Countie’s Populations

- Representing Real-Time COVID-19 data (at the time) using various
different charts and graphs.
- Usng different sources of data in Rstudio to create outputs.

- Visually representing U.S. cities based on population and distance
to different borders.

- Used different tessellations in order to highlight specific uses of
Dams in the U.S. and differentiate between them in a map.
- Vector data was used in Rstudio for the creation of the maps.

- Utilized raster data to study the impact of floods in an area.
- Rstudio was used for this analysis.

- Time lapse of the impact on buildings during a flood.
- Raster data was used in Rstudio to create this figure.

Distribution of Tsunamis Caused by Earthquakes
- Historical data of locations of Tsunamis was used to create this
map.
- Map was created using QGIS.
