Lukas Fontanilla
Geocomputation with R
Geocomputation in R - Data used: London spatial data, london government data
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This project is modeled after https://github.com/Robinlovelace/Creating-maps-in-R.
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The two data variables being used are the London boroughs' total carbon emission levels for 2012 and 2014
Purpose of this project
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To develop knowledge using the R programming language's exciting visualization capabilities
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To use the data given to create segmented maps identifying which boroughs excude the most carbon emissions
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To create tmaps, powered by leaflet, creating interactive and colored visualizations showing the most carbon emission dense boroughs
Exploratory Analysis with R
Exploratory Analysis:
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US Census housing-level and person-level survey data | Collected from WA residents during 2016
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Variables used: VALP (Property Value) & CIT (Citizenship Status)
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Histogram chart used to show the distribution of property values by frequency
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Box and Whiskers plot used to identify the varying VALP means for each CIT level and the outlier values | Plotted against VALP
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Coming Soon
Social Network Analysis with R, Webscraping with Python, and much more!