From the course: Geospatial Data Analytics Essential Training
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Acquire open geospatial data about New York City - Python Tutorial
From the course: Geospatial Data Analytics Essential Training
Acquire open geospatial data about New York City
- In this final chapter of the course, we are going to cover everything that we have learned so far. We are going to collect data about New York City, show you how to combine different spatial and non-spatial data sets, both covering human demographics and the green environment. And then we are going to turn these data into unique index, capturing the green area level per capita across the city. Finally, we are going to build beautiful and insightful maps to show you how we can turn several different data sets into one unique and insightful visualization. By the end of this chapter, you will have a comprehensive overview on how to conduct and how to carry out a geospatial data science project from data collection to the presentation of the found insights. In this section, we will briefly overview how to acquire free, publicly available, geo-relevant information about New York City. For this, we will visit selected links on the city's Open Data portal, observe the available data on…
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Contents
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Acquire open geospatial data about New York City3m 35s
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Explore the administrative boundaries of the NYC neighborhoods5m 28s
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Combine and compare spatial datasets7m 31s
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Enrich administrative boundaries using population information4m 29s
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Computing local statistics8m 10s
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Turning tabular data into geospatial4m 20s
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Urban greenery assessment5m 54s
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