update slides

Author: jorisvandenbossche

slides.html

@@ -358,7 +358,77 @@
 
 ---
 
-# A rich ecosystem of packages:
+# A rich ecosystem of packages
+
+<br>
+
+![:scale 60%](https://pysal.org/assets/pysal_nav_logo.svg)
+
+Python Spatial Analysis Library (https://pysal.org). Collection of packages for:
+
+* detection of spatial clusters, hot-spots, and outliers
+* construction of graphs from spatial data
+* spatial regression and statistical modeling on geographically embedded networks
+* spatial econometrics
+* exploratory spatio-temporal data analysis
+* ...
+
+
+---
+
+# A rich ecosystem of packages
+
+<br>
+
+Building up on / integrating with GeoPandas:
+
+**MovingPandas** (https://anitagraser.github.io/movingpandas/): working with movement data
+
+**Momepy** (http://docs.momepy.org/en/latest/): quantitative analysis of urban morphology
+
+**geoplot** (https://residentmario.github.io/geoplot/):  high-level Python geospatial plotting library (combining GeoPandas, matplotlib and cartopy)
+
+**...**
+
+---
+
+# A rich ecosystem of packages
+
+<br>
+
+Building up on / integrating with xarray:
+
+**Satpy** (https://satpy.readthedocs.io/en/stable/): package for earth-observing satellite data processing
+
+**xesmf** (https://xesmf.readthedocs.io/): Universal Regridder for Geospatial Data
+
+**verde** (https://www.fatiando.org/verde/): interpolating spatial data on regular grids
+
+**rioxarray** (https://github.com/corteva/rioxarray): linking rasterio functionality with xarray
+
+**...**
+
+---
+
+# A rich ecosystem of packages
+
+<br>
+
+Several more domain/application specific packages:
+
+**MetPy** (https://unidata.github.io/MetPy): working with weather data
+
+**xgcm** (https://xgcm.readthedocs.io/en/latest/index.html): working with output from General Circulation Models
+
+**osmnx** (https://github.com/gboeing/osmnx): street networks 
+
+**...**
+
+
+---
+
+
+# A rich ecosystem of packages
 
 <br>