In 2021, I enrolled in the Master of Applied Geospatial Information Systems and Technologies (MAGIST) program offered by UCLA. In this program I have been introduced to a whole new world of Python libraries, as well as the R programming language. At my current employment, I am working with PostgreSQL and Python to query, aggregate, and transform data from one geospatial database to a spatial data mart for end clients to use in their desktop tools. Needless to say, my MAGIST education is already benefiting my career in several ways.

My goal is to obtain my master's degree in order to progress in the field of geospatial data science. I would also like to end my working career teaching geospatial technologies at the higher education level.

The following are some of the GEOG 414 Web mapping assignments I have worked on in the program. I have also attempted to write some articles about what I learned in each assignment along the way. You can view the posts on my Geospatial Developer Blog site.

Unit 1 - Guessing Game

This game is a fun example of using the OpenLayers map library for displaying the player's longitude choice compared to the random value selected by the program.

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Unit 1 - Distance Calculator

This example uses Turf.js to calculate the distance between two points as well as draws a line using the "greatCircle" method.

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Unit 2 - Choropleth Mapping

Demonstrate how to visualize dataset variables using a choropleth map. This sample uses ClassyBrew.js to generate the variable class breaks in our dataset.

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Unit 2 - Point Symbol Mapping

This example uses Leaflet.js to visualize point symbols in different colors based on values in the data.

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Unit 3 - WMS Layers

This example uses Leaflet.js tileLayer and nonTiledLayer extensions to display TIGERWeb WMS Census layers.

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Unit 4 - Map and Chart with D3.js

This example uses D3.js to visual Gapminder Income and Inequality data using a choropleth map and time series chart.

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Unit 5 - Gapminder Analytics

This page uses the Leaflet JavaScript library for the map control and ClassyBrew.js for generating class breaks on the Gapminder data variables. I also used Chart.js and jQuery DataTables components for visualizing Gapminder data using charts and tabular formats.

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Unit 5 - AirBnB Analytics Tool

This page uses Leaflet and Turf.js to perform spatial analysis and visualization. D3.js is used to generate a scrollable table of results. The data is retreived from a MySQL database using a spatial query to select data near the specified address. I also used the Nominatim geocoder service to look up the location for the address entered by the user.

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