Getting Started on Geospatial Analysis with Python, GeoJSON and GeoPandas

Using geojson.io to visualise the GeoJSON seems like the wrong tool for the job; just use folium, it works perfectly in Jupyter Notebooks: <a href="https:&#x2F;&#x2F;github.com&#x2F;python-visualization&#x2F;folium" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;python-visualization&#x2F;folium</a>

I would also be sure to be aware of GDAL and OGR. Both are quite useful when you&#x27;re doing anything GIS&#x2F;Remote Sensing.<p><a href="http:&#x2F;&#x2F;www.gdal.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;www.gdal.org&#x2F;</a>

Why isn&#x27;t GRASS GIS more widely used in geospatial analysis (or it&#x27;s just my impression that is not)? I tried several tools but usually GRASS proves to be the fastest and more flexible one.

The trend in GIS these days is away from writing code and towards configurable apps, only dropping into code where necessary. Why not just use QGIS instead? Far simpler.

Great tutorial, and thank goodness it&#x27;s in 3.x. About a year ago it was difficult to find many 3.x examples of geospatial analysis. It felt like there was always some dependency that was not quite 3.x compatible, so it made sense that a lot of folks would just stick to 2.x just to get started.

You might also be interested in GeoNotebook, a Jupyter Notebook extension for geospatial analysis<p><a href="https:&#x2F;&#x2F;github.com&#x2F;OpenGeoscience&#x2F;geonotebook" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;OpenGeoscience&#x2F;geonotebook</a>

Another possibility for interactively manipulating maps is the ipyleaflet Jupyter widget library: <a href="https:&#x2F;&#x2F;github.com&#x2F;ellisonbg&#x2F;ipyleaflet" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ellisonbg&#x2F;ipyleaflet</a>. See examples of notebooks at <a href="https:&#x2F;&#x2F;github.com&#x2F;ellisonbg&#x2F;ipyleaflet&#x2F;tree&#x2F;master&#x2F;examples" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;ellisonbg&#x2F;ipyleaflet&#x2F;tree&#x2F;master&#x2F;examples</a><p>(disclosure: I have helped with this library)

If you are interested in GIS, make sure to check out rasterio and Fiona to go with Shapely. All great tools for GIS in python.

A friend just made a presentation on these exact tools at the Pycon JP 2017 a few days ago, I half expected to see Halfdan&#x27;s face there: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=Yd5oEIBFQ_E" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;watch?v=Yd5oEIBFQ_E</a>

Where is a good place to start to take a set of lat&#x2F;long data (e.g., bunch of ride&#x2F;walk traces) and plot a neat looking map? It seems to be a little harder than hello world, but not worth a full blown GIS stack.

&lt;self promotion, but relevant&gt; I just launched a product similar to this but a bit more powerful and aimed at a less technical audience (most of my customers are Excel users). There is a python client that does geocoding, census data lookup, and driving distance&#x2F;time if you are looking for something more than the open source options provide. If you&#x27;re interested, email me or check out <a href="https:&#x2F;&#x2F;cairngeographics.com&#x2F;" rel="nofollow">https:&#x2F;&#x2F;cairngeographics.com&#x2F;</a>

For JavaScript folks, there&#x27;s Turfjs from Mapbox.<p><a href="http:&#x2F;&#x2F;turfjs.org&#x2F;" rel="nofollow">http:&#x2F;&#x2F;turfjs.org&#x2F;</a>

Would it be possible with something like this to locate all the pools in a give area and find the street addresses?