convert geojson polygons to points

app.py

@@ -19,9 +19,8 @@ from datetime import datetime
 from helpers.fetch_data import fetch_data
 from helpers.residuals import get_residual_plot
 from helpers.reduce_precision import reduce_coordinate_precision
-from shapely.geometry import shape
-from shapely.geometry import mapping
-from shapely.geometry import Polygon as ShapelyPolygon
+from shapely import LineString, Polygon
+from matplotlib.colors import BoundaryNorm
 import io
 
 # ------------------------------
@@ -48,21 +47,40 @@ residual_data = pd.read_csv('data/residual_by_country.csv')
 selected_map = reactive.Value(None)
 
 #load band 1 data by default
-with open('data/band_1.geojson') as w:
+with open('data/simplified_band_1.geojson') as w:
     band_1_data = json.load(w)
     band_1_data = reduce_coordinate_precision(band_1_data, precision=5) #reduce precision to aid in rendering 
 
+
 IWI_values = [feature['properties']['IWI']
               for feature in band_1_data['features']]
-norm = colors.Normalize(vmin=min(IWI_values), vmax=max(IWI_values))
-colormap = cm.get_cmap("plasma")
+# Define IWI value bins and their corresponding color ranges
+iwi_bins = [0.052, 0.140, 0.161, 0.187, 0.240, 0.696]  # Custom bin values
+iwi_labels = [
+    "0.052 – 0.140",
+    "0.140 – 0.161",
+    "0.161 – 0.187",
+    "0.187 – 0.240",
+    "0.240 – 0.696"
+]
+iwi_mappings = {
+    "0.052 – 0.140": "#0d0887",
+    "0.140 – 0.161": "#7d03a8",
+    "0.161 – 0.187": "#cb4679",
+    "0.187 – 0.240": "#f89441",
+    "0.240 – 0.696": "#f0f921"
+}
 
+# Generate a colormap and norm based on the custom bins
+colormap = cm.get_cmap("plasma")  # Choose your colormap
+norm = BoundaryNorm(iwi_bins, colormap.N)
 
+# Function to get color based on IWI value
 def get_color(iwi):
+    # Find the color for the given IWI value based on the colormap and norm
     rgba = colormap(norm(iwi))  # Convert to RGBA
     return colors.to_hex(rgba)  # Convert to HEX
 
-
 # Function to clean up out-of-range values and get values
 def get_clean_values(src, band_idx=1):
     band_data = src.read(band_idx)
@@ -400,10 +418,17 @@ def server(input, output, session):
         }
 
     band_1_json = GeoJSON(data=band_1_data,
-                          style={'radius': 2, 'opacity': 0.8, 'weight': 1.9},
-                          point_style={'radius': 3},
+                          style={'radius': 0.05, 'opacity': 0.8, 'weight': 0.5},
+                          point_style={'radius': 0.05},
                           name='Release'
                           )
+    legend = LegendControl(iwi_mappings,
+    position="bottomleft",
+    title="IWI Values",
+)
+
+# Add the legend to the map
+    m.add_control(legend)
     m.add_layer(band_1_json)
 
     geo_json = GeoJSON(

data/simplified_band_1.geojson

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:83cfb95ccb32b9974d5539e19c136eacdfceaf3e317b8b9df1726a4c707db2c6
+size 44034863

notebooks/simplify_polygon.ipynb

@@ -0,0 +1,213 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "81ec2c58",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[{'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.2388916015625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.63254496008522, 37.40584843073688],\n",
+       "     [9.63254496008522, 37.34548164364405],\n",
+       "     [9.692911747178051, 37.34548164364405],\n",
+       "     [9.692911747178051, 37.40584843073688],\n",
+       "     [9.63254496008522, 37.40584843073688]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.21142578125},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.451444598806724, 37.34548164364405],\n",
+       "     [9.451444598806724, 37.28511485655122],\n",
+       "     [9.511811385899556, 37.28511485655122],\n",
+       "     [9.511811385899556, 37.34548164364405],\n",
+       "     [9.451444598806724, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.191650390625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.511811385899556, 37.34548164364405],\n",
+       "     [9.511811385899556, 37.28511485655122],\n",
+       "     [9.572178172992388, 37.28511485655122],\n",
+       "     [9.572178172992388, 37.34548164364405],\n",
+       "     [9.511811385899556, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.1314697265625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.572178172992388, 37.34548164364405],\n",
+       "     [9.572178172992388, 37.28511485655122],\n",
+       "     [9.63254496008522, 37.28511485655122],\n",
+       "     [9.63254496008522, 37.34548164364405],\n",
+       "     [9.572178172992388, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.169921875},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.63254496008522, 37.34548164364405],\n",
+       "     [9.63254496008522, 37.28511485655122],\n",
+       "     [9.692911747178051, 37.28511485655122],\n",
+       "     [9.692911747178051, 37.34548164364405],\n",
+       "     [9.63254496008522, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.261962890625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.692911747178051, 37.34548164364405],\n",
+       "     [9.692911747178051, 37.28511485655122],\n",
+       "     [9.75327853427088, 37.28511485655122],\n",
+       "     [9.75327853427088, 37.34548164364405],\n",
+       "     [9.692911747178051, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.355712890625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.75327853427088, 37.34548164364405],\n",
+       "     [9.75327853427088, 37.28511485655122],\n",
+       "     [9.813645321363712, 37.28511485655122],\n",
+       "     [9.813645321363712, 37.34548164364405],\n",
+       "     [9.75327853427088, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.36572265625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.813645321363712, 37.34548164364405],\n",
+       "     [9.813645321363712, 37.28511485655122],\n",
+       "     [9.874012108456544, 37.28511485655122],\n",
+       "     [9.874012108456544, 37.34548164364405],\n",
+       "     [9.813645321363712, 37.34548164364405]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.215087890625},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.270344237528228, 37.28511485655122],\n",
+       "     [9.270344237528228, 37.224748069458386],\n",
+       "     [9.33071102462106, 37.224748069458386],\n",
+       "     [9.33071102462106, 37.28511485655122],\n",
+       "     [9.270344237528228, 37.28511485655122]]]}},\n",
+       " {'type': 'Feature',\n",
+       "  'properties': {'IWI': 0.145263671875},\n",
+       "  'geometry': {'type': 'Polygon',\n",
+       "   'coordinates': [[[9.33071102462106, 37.28511485655122],\n",
+       "     [9.33071102462106, 37.224748069458386],\n",
+       "     [9.391077811713892, 37.224748069458386],\n",
+       "     [9.391077811713892, 37.28511485655122],\n",
+       "     [9.33071102462106, 37.28511485655122]]]}}]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "from shapely.geometry import shape\n",
+    "from shapely.geometry import mapping\n",
+    "import json \n",
+    "\n",
+    "with open('data/band_1.geojson') as a: \n",
+    "    geojson_data = json.load(a)\n",
+    "\n",
+    "\n",
+    "geojson_data['features'][:10]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "5720f337",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Simplify a geometry\n",
+    "from shapely.geometry import shape, Point\n",
+    "def simplify_geometry_to_centroid(geometry):\n",
+    "    geom = shape(geometry)\n",
+    "    centroid = geom.centroid  # Calculate the centroid of the polygon\n",
+    "    return mapping(Point(centroid.x, centroid.y))  # Convert centroid to Point geometry\n",
+    "\n",
+    "# Apply simplification to each feature in your GeoJSON\n",
+    "for feature in geojson_data['features']:\n",
+    "    feature['geometry'] = simplify_geometry_to_centroid(feature['geometry'])\n",
+    "\n",
+    "with open('data/simplified_band_1.geojson', 'w') as w:\n",
+    "    json.dump(geojson_data, w, indent=4)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "402ae676",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "#0d0887\n",
+      "#7d03a8\n",
+      "#cb4679\n",
+      "#f89441\n",
+      "#f0f921\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/var/folders/fd/f53d2xmj7rv2ks6v0c5q59880000gn/T/ipykernel_27622/1044773481.py:15: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed two minor releases later. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap(obj)`` instead.\n",
+      "  colormap = cm.get_cmap(\"plasma\")  # Choose your colormap\n"
+     ]
+    }
+   ],
+   "source": [
+    "import matplotlib.cm as cm\n",
+    "from matplotlib.colors import BoundaryNorm\n",
+    "import matplotlib.colors as colors\n",
+    "\n",
+    "iwi_bins = [0.052, 0.140, 0.161, 0.187, 0.240, 0.696]  # Custom bin values\n",
+    "iwi_labels = [\n",
+    "    \"0.052 – 0.140\",\n",
+    "    \"0.140 – 0.161\",\n",
+    "    \"0.161 – 0.187\",\n",
+    "    \"0.187 – 0.240\",\n",
+    "    \"0.240 – 0.696\"\n",
+    "]\n",
+    "\n",
+    "# Generate a colormap and norm based on the custom bins\n",
+    "colormap = cm.get_cmap(\"plasma\")  # Choose your colormap\n",
+    "norm = BoundaryNorm(iwi_bins, colormap.N)\n",
+    "\n",
+    "# Function to get color based on IWI value\n",
+    "def get_color(iwi):\n",
+    "    # Find the color for the given IWI value based on the colormap and norm\n",
+    "    rgba = colormap(norm(iwi))  # Convert to RGBA\n",
+    "    return colors.to_hex(rgba)  # Convert to HEX\n",
+    "\n",
+    "\n",
+    "print(get_color(0.1))\n",
+    "print(get_color(0.15))\n",
+    "print(get_color(0.17))\n",
+    "print(get_color(0.22))\n",
+    "print(get_color(0.5))"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "myenv",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}