Merge pull request #381 from Kritika75/features

Added Planting Analysis

planting_analysis.py

@@ -0,0 +1,150 @@
+import folium
+import matplotlib.pyplot as plt
+import numpy as np
+from geopy.geocoders import Nominatim
+
+def get_location_coordinates(area_name):
+    geolocator = Nominatim(user_agent="Planting_Analysis")  
+    try:
+        location = geolocator.geocode(area_name)
+        if location:
+            return location.latitude, location.longitude
+        else:
+            print("Area not found")
+            return None, None
+    except Exception as e:
+        print(f"Error occurred while fetching coordinates: {e}")
+        return None, None
+
+def interactive_map(lat, lon, area_name):
+    area_map = folium.Map(location=[lat, lon], zoom_start=13)
+    folium.Marker([lat, lon], popup=f"{area_name}").add_to(area_map)
+
+    map_filename = f"{area_name}_map.html"
+    area_map.save(map_filename)
+    print(f"Interactive map saved as {map_filename}")
+    return map_filename
+
+def trees_capacity(area_km2, tree_species):
+    species_density = {
+        "Oak": 200,
+        "Pine": 300,
+        "Maple": 150,
+        "Cedar": 250,
+        "Birch": 180,
+        "Willow": 220,
+        "Spruce": 260,
+        "Fir": 240,
+        "Aspen": 190,
+        "Cherry": 200,
+        "Magnolia": 170,
+        "Redwood": 150,
+        "Palms": 100,
+        "Teak": 120,
+        "Bamboo": 300,
+    }
+    if tree_species in species_density:
+        trees_per_km2 = species_density[tree_species]
+    else:
+        trees_per_km2 = 100  # default density
+    total_trees = area_km2 * trees_per_km2
+    return total_trees
+
+def oxygen_output(trees, tree_species):
+    species_oxygen = {
+        "Oak": 180,
+        "Pine": 140,
+        "Maple": 150,
+        "Cedar": 170,
+        "Birch": 160,
+        "Willow": 155,
+        "Spruce": 150,
+        "Fir": 140,
+        "Aspen": 145,
+        "Cherry": 160,
+        "Magnolia": 170,
+        "Redwood": 150,
+        "Palms": 50,
+        "Teak": 120,
+        "Bamboo": 75,
+    }
+    oxygen_per_tree = species_oxygen.get(tree_species, 118) 
+    total_oxygen = trees * oxygen_per_tree
+    return total_oxygen
+
+
+def planting_recommendations(area_name):
+
+    recommendations = {
+        "tropical": ["Teak", "Bamboo", "Palm"],
+        "temperate": ["Oak", "Maple", "Cherry"],
+        "arid": ["Cedar", "Willow", "Fir"],
+        "coastal": ["Birch", "Magnolia", "Redwood"],
+    }
+
+    if "tropical" in area_name.lower():
+        return recommendations["tropical"]
+    elif "arid" in area_name.lower():
+        return recommendations["arid"]
+    elif "coastal" in area_name.lower():
+        return recommendations["coastal"]
+    else:
+        return recommendations["temperate"]
+
+def carbon_offset(trees):
+    carbon_per_tree = 22
+    total_offset = trees * carbon_per_tree
+    return total_offset
+
+def visualize_results(tree_capacity, oxygen_output_val, tree_species):
+    labels = ['Trees', 'Oxygen Output (kg)']
+    values = [tree_capacity, oxygen_output_val]
+
+    x = np.arange(len(labels))  
+    width = 0.35 
+
+    fig, ax = plt.subplots()
+    rects1 = ax.bar(x - width/2, values, width, label='Values')
+
+    ax.set_ylabel('Count / Output')
+    ax.set_title('Tree Capacity and Oxygen Output')
+    ax.set_xticks(x)
+    ax.set_xticklabels(labels)
+    ax.legend()
+
+    for rect in rects1:
+        height = rect.get_height()
+        ax.annotate('{}'.format(height),
+                    xy=(rect.get_x() + rect.get_width() / 2, height),
+                    xytext=(0, 3), 
+                    textcoords="offset points",
+                    ha='center', va='bottom')
+
+    plt.show()
+
+def analyze_area_for_tree(area_name, area_km2, tree_species):
+    lat, lon = get_location_coordinates(area_name)
+    if lat is None or lon is None:
+        return
+
+    map_file = interactive_map(lat, lon, area_name)
+
+    tree_capacity = trees_capacity(area_km2, tree_species)
+    oxygen_output_val = oxygen_output(tree_capacity, tree_species)
+    carbon_offset_val = carbon_offset(tree_capacity)
+    suitable_trees = planting_recommendations(area_name)
+
+    print(f"For the area of {area_km2} km² in {area_name}: ")
+    print(f"Estimated number of {tree_species} trees that can be planted: {tree_capacity}")
+    print(f"Estimated annual oxygen output: {oxygen_output_val} kg")
+    print(f"Estimated carbon offset: {carbon_offset_val} kg/year")
+    print(f"View the interactive map here: {map_file}")
+    print(f"Recommended tree species for planting: {', '.join(suitable_trees)}")
+
+    visualize_results(tree_capacity, oxygen_output_val, tree_species)
+
+if __name__ == "__main__":
+    area_name = input("Enter the name of the city/Area Name: ")
+    area_km2 = float(input("Enter the area in km²: "))
+    tree_species = input("Enter the tree species (e.g. Oak, Pine, Maple, Cedar, Cherry etc): ")
+    analyze_area_for_tree(area_name, area_km2, tree_species)