Added local hazard visualization

.gitignore

@@ -40,6 +40,7 @@ tests/.incorepw
 
 # incore download data or test data
 tests/data/
+tests/pyincore_viz/data/
 cache_data/
 original/
 

CHANGELOG.md

@@ -6,6 +6,9 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/)
 and this project adheres to [Semantic Versioning](http://semver.org/).
 
 ## [Unreleased]
+### Added
+- Local hazard visualization [#143](https://github.com/IN-CORE/pyincore-viz/issues/143)
+
 ### Changed
 - Clean dependencies [#145](https://github.com/IN-CORE/pyincore-viz/issues/145)
 

pyincore_viz/geoutil.py

@@ -1140,6 +1140,99 @@ def get_ipyleaflet_heatmap(locations=None, radius=10, blur=10, max=1, name=""):
 
         return heatmap
 
+    @staticmethod
+    def plot_local_earthquake(eq_dataset):
+        """
+        Plot local earthquake data on the map
+        """
+        demand_type = eq_dataset.demand_type
+        demand_units = eq_dataset.demand_units
+        hazard_type = eq_dataset.hazard_type
+        period = eq_dataset.period
+        title = "Demand Type: " + demand_type.upper() + ", Demand Units: " + demand_units + ", Period: " + \
+                str(period) + ", Hazard Type: " + hazard_type
+        raster_file_path = eq_dataset.dataset.local_file_path
+
+        GeoUtil.plot_raster_file_with_legend(raster_file_path, title)
+
+    @staticmethod
+    def plot_local_tsunami(tsu_dataset):
+        """
+        Plot local tsunami data on the map
+
+        args:
+            tsu_dataset (obj): pyincore TsunamiDataset object
+
+        returns:
+            none
+        """
+        demand_type = tsu_dataset.demand_type
+        demand_units = tsu_dataset.demand_units
+        hazard_type = tsu_dataset.hazard_type
+        title = "Demand Type: " + demand_type.upper() + ", Demand Units: " + str(demand_units) + \
+                ", Hazard Type: " + hazard_type
+        raster_file_path = tsu_dataset.dataset.local_file_path
+
+        GeoUtil.plot_raster_file_with_legend(raster_file_path, title)
+
+    @staticmethod
+    def plot_local_flood(flood_dataset):
+        """
+        Plot local tsunami data on the map
+
+        args:
+            tsu_dataset (obj): pyincore TsunamiDataset object
+
+        returns:
+            none
+        """
+        demand_type = flood_dataset.demand_type
+        demand_units = flood_dataset.demand_units
+        hazard_type = flood_dataset.hazard_type
+        title = "Demand Type: " + demand_type.upper() + ", Demand Units: " + str(demand_units) + \
+                ", Hazard Type: " + hazard_type
+        raster_file_path = flood_dataset.dataset.local_file_path
+
+        GeoUtil.plot_raster_file_with_legend(raster_file_path, title)
+
+    @staticmethod
+    def plot_local_hurricane(hur_dataset):
+        """
+        Plot local hurricane data on the map
+
+        args:
+            hur_dataset (obj): pyincore HurricaneDataset object
+
+        returns:
+            none
+        """
+        demand_type = hur_dataset.demand_type
+        demand_units = hur_dataset.demand_units
+        hazard_type = hur_dataset.hazard_type
+        title = "Demand Type: " + demand_type.upper() + ", Demand Units: " + str(demand_units) + \
+                ", Hazard Type: " + hazard_type
+        raster_file_path = hur_dataset.dataset.local_file_path
+
+        GeoUtil.plot_raster_file_with_legend(raster_file_path, title)
+
+    @staticmethod
+    def plot_local_tornado(tornado):
+        """
+        Plot local tornado data on the map
+
+        args:
+            dataset (obj): pyincore TornadoDataset object
+
+        returns:
+            outmap (obj): ipyleaflet map object
+        """
+        gdf = tornado.hazardDatasets[0].dataset.get_dataframe_from_shapefile()
+        id_field = tornado.EF_RATING_FIELD
+
+        outmap = GeoUtil.plot_gdf_map(gdf, id_field)
+
+        return outmap
+
     @staticmethod
     def plot_multiple_vector_dataset(dataset_list):
         """Plot multiple vector datasets on the same map.