Geospatial Analytics Lab
Location Intelligence & Maps
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reach out to >> GeoBILab@gmail.com
>> Language Spoken at Home in NYC
Know your Neighborhood
Interactive Map Shows What Languages NYers Speak At Home
Method: Identification of most frequent Language by Census Tract, 2015 data.
*To undercover NYC linguistic diversity, the two main languages were excluded.
>> Manhattan's Subway Stations and nearby Restaurants
Cuisine Diversity, Restaurant Density and Food Safety || NYC Open Data
>> Location of NYC Museums
>> Field Campaign Optimization, Sales and Marketing
Sales Territory for a Retail service provider
To optimize the operational cost of a sales and marketing door-to-door campaign a geospatial model based on socio-economic data was developed: the "Population Purchase Power Map".
The map shows the locations - at the neighborhood level - of high-value sale areas, where representatives could find new clients to sell premium packages and for existing customers evaluate upselling opportunities. The precise definition of the sales territory boundaries was also used as a tool for the efficient distribution of the sales team.
Covering only potential high sales neighborhoods the coverage area was largely reduced (~20% of the initial area), minimizing the overall campaign cost and time frame.
>> Geospatial Analysis of Portugal Wildfires Shows What Actually Burned
The web map depicts the geographical extent of the 2017 Wildfires in Portugal – Central region only, using CopernicusEMS data*.
It is estimated that over 310 000 hectares (3100 sq. km) was burned. Two of the major fires combined - Pedrogao Grande (Leiria District) and Nelas, extended up to 265 000 ha – 86% of the total burnt area.
Map A Insights: The Land Cover Map classes that were mostly affected by these wildfires are: Forestry 47% (especially Pine trees, with 23% of total burnt extent) and Shrubland 42%, followed by Agriculture 10% and Urbanized areas with 0.5% (1460 hectares).
>> Gerrymandering - Geospatial analysis
< US 114 & 115th Electoral Districts | Population Profiling | Shape Index >
~~~ in the back burner ~~~
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Vanessa Mateus, Geospatial Analyst
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