Create spatial.md

docs/docs/spatial.md

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+---
+layout: default
+title: Spatial Data Science
+nav_order: 5
+---
+
+# Spatial Data Science
+{: .no_toc }
+
+To highlight a real-world application of an [ISO 19107](https://www.iso.org/standard/66175.html) compliant city model; [CityJSONspatialDataScience.ipynb](https://github.com/AdrianKriger/osm_LoD1_3DCityModel/blob/main/village_campus/CityJSONspatialDataScience.ipynb) illustrates a example of population estimation and the calculation of [Building Volume per Capita (Ghosh, T.; et. al.)](https://www.frontiersin.org/articles/10.3389/frsc.2020.00037/full).
+
+While the prefered process would proceed [osm_LoD1_3DCityModel](https://adriankriger.github.io/osm_LoD1_3DCityModel/) -> [Spatial Data Science](https://github.com/AdrianKriger/osm_LoD1_3DCityModel/blob/main/village_campus/CityJSONspatialDataScience.ipynb) -> Interactive visualization; an alternate does exist.  
+[interactiveOnly.ipynb](https://github.com/AdrianKriger/osm_LoD1_3DCityModel/blob/main/village_campus/interactiveOnly.ipynb) will create a basic 3D model visualisation followed by population estimation and the calculation of [Building Volume per Capita (Ghosh, T.; et. al.)](https://www.frontiersin.org/articles/10.3389/frsc.2020.00037/full).
+
+Please consider your needs before executing the solution. We do not want to burden the [OpenStreetMap](https://www.openstreetmap.org/#map=5/-28.676/24.677) server with repeat calls for data.