demo data: include Portugal_firms_2016_17_18_MODIS.csv for Wildfire tutorial

Author: emanuel-schmid

climada/__init__.py

@@ -79,6 +79,7 @@
         DEMO_DIR.joinpath('WS_ERA40_sample.mat'),
         DEMO_DIR.joinpath('WS_Europe.xls'),
         DEMO_DIR.joinpath('Portugal_firms_June_2017.csv'),
+        DEMO_DIR.joinpath('Portugal_firms_2016_17_18_MODIS.csv'),
     ] + WS_DEMO_NC
 }
 

climada/entity/exposures/litpop/litpop.py

@@ -597,7 +597,7 @@ def _set_one_country(country, res_arcsec=30, exponents=(1,1), fin_mode=None,
             raise TypeError("total_val_rescale must be int or float.")
 
         exp_country = LitPop()
-        exp_country.gdf = litpop_gdf
+        exp_country.set_gdf(litpop_gdf)
         exp_country.gdf[INDICATOR_IMPF] = 1
         return exp_country
 

climada/entity/exposures/open_street_map.py

@@ -501,7 +501,7 @@ def _split_exposure_highlow(exp_sub, mode, High_Value_Area_gdf):
               "Please choose either 'nearest', 'even' or 'proportional'.")
 
     exp = exp_sub.copy(deep=False)
-    exp.gdf = exp_sub_high
+    exp.set_gdf(exp_sub_high)
     return exp
 
 def get_osmstencil_litpop(bbox, country, mode, highValueArea=None,