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Data mining and presentation
We have built our reputation on our ability to work with and develop data to enable our clients to find answers to their questions.
Using publicly available data and our own information, we develop efficient and comprehensive database queries. Generally this involves creating spreadsheets, tables and map.
Clients use these queries to answer their questions about, for example, the distance of people from particular facilities within a district, people's proximity to geographical features or infrastructure, or how communities are affected by the features around them.
Green roof NYC building study for Earth Pledge
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Data sources |
Tax lots, real estate table |
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Client objective |
Find buildings with large flat roof areas for potential green roof development. |
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Map outcome |
Tabular data was queried for building size, count, and use. |
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Client benefit |
Summary results were presented for the total area and number
of 'big box' buildings in each borough, along
with other building statistics. Specific sites were chosen
for further analysis as a result of this study. |
Vacant parcels along the NYC waterfront, for the New York City
Partnership
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Data sources |
Tax lots, real estate table, parks, shoreline,
roads |
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Client objective |
Find vacant and undeveloped shorefront properties in NYC. |
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Map outcome |
Map data was queried for land use attributes, and buffered for proximity to the shoreline. |
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Client benefit |
The available tabular data alone does not specify shorefront parcels, so a combination of data sets and query tools were required. |
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