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README.md

@@ -0,0 +1,38 @@
+---
+title: "Alaska Lightning Strikes Visualization"
+emoji: "⚡"
+colorFrom: "blue"
+colorTo: "purple"
+sdk: "streamlit"
+sdk_version: "1.9.0"
+app_file: app.py
+pinned: false
+---
+
+# Alaska Lightning Strikes Visualization
+
+This project visualizes lightning strikes in Alaska using `geopandas` and `contextily` to plot the data on an interactive map in a Streamlit application.
+
+## Description
+
+This application reads lightning strike data from a shapefile, projects it to a different coordinate reference system, and plots it on an interactive map with a basemap for better visualization. The data is plotted using `geopandas` and the basemap is added using `contextily`.
+
+## Setup
+
+To run this application, you need the following dependencies:
+
+- `streamlit`
+- `geopandas`
+- `contextily`
+- `matplotlib`
+
+These dependencies are listed in the `requirements.txt` file and will be automatically installed when you deploy this application on Hugging Face Spaces.
+
+## Usage
+
+To use the application:
+
+1. Input the shapefile path to load the data.
+2. The application will process the data and visualize it on a map.
+
+

app.py

@@ -8,6 +8,7 @@ import requests
 import folium
 import zipfile
 from streamlit.components.v1 import html
+import contextily as cx
 
 # Función para descargar y descomprimir el archivo
 def download_and_extract_data():
@@ -19,7 +20,7 @@ def download_and_extract_data():
 # Descargar y descomprimir los datos
 st.title('Alaska Lightning Detection Network Analysis')
 
-st.subheader('How its works: Explorar y comprender mejor la actividad de los rayos. ')
+st.subheader('Verificar los rayos. ')
 
 with st.spinner('Downloading and extracting data...'):
     download_and_extract_data()
@@ -132,3 +133,4 @@ ax.set_xlabel('Date')
 ax.set_ylabel('Count')
 ax.grid(True)
 st.pyplot(fig)
+

requirements.txt

@@ -7,4 +7,5 @@ requests
 folium 
 matplotlib 
 mapclassify
-streamlit-folium
+streamlit-folium
+contextily