https://github.com/cizodevahm/geospatial-data-analysis-in-python
This repository contains a Jupyter notebook focused on geospatial data analysis using Python. It covers the installation of necessary dependencies, data manipulation, visualization, and analysis techniques commonly used in geospatial projects.
https://github.com/cizodevahm/geospatial-data-analysis-in-python
ai analysis geolocation geospatial
Last synced: 3 months ago
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This repository contains a Jupyter notebook focused on geospatial data analysis using Python. It covers the installation of necessary dependencies, data manipulation, visualization, and analysis techniques commonly used in geospatial projects.
- Host: GitHub
- URL: https://github.com/cizodevahm/geospatial-data-analysis-in-python
- Owner: cizodevahm
- License: gpl-3.0
- Created: 2024-08-28T08:22:46.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2024-08-28T08:44:33.000Z (9 months ago)
- Last Synced: 2025-01-17T15:51:29.971Z (5 months ago)
- Topics: ai, analysis, geolocation, geospatial
- Language: Jupyter Notebook
- Homepage:
- Size: 1.42 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Geospatial-Data-Analysis-in-Python
This repository contains a Jupyter notebook focused on geospatial data analysis using Python. It covers the installation of necessary dependencies, data manipulation, visualization, and analysis techniques commonly used in geospatial projects.
## Table of Contents
- [Introduction](#introduction)
- [Installation](#installation)
- [Usage](#usage)
- [Features](#features)
- [License](#license)
## Introduction
Geospatial data analysis is an essential aspect of understanding spatial patterns and relationships in various domains. This notebook provides a step-by-step guide to performing geospatial analysis in Python, leveraging powerful libraries like GeoPandas, Shapely, and Folium.
## Installation
To run this notebook, you have to just clone it. You can do this by running the following command:
```bash
git clone https://github.com/cizodevahm/Geospatial-Data-Analysis-in-Python.git
```
Ensure you have Jupyter installed, and then launch the notebook using:
```bash
jupyter notebook
```
## Usage
Clone this repository and open the `Geospatial Data Analysis in Python.ipynb` notebook in Jupyter. The notebook includes the following sections:
- **Data Loading**: Instructions on loading geospatial datasets.
- **Data Manipulation**: Techniques for manipulating geospatial data using Python.
- **Visualization**: Visualization of spatial data using various plotting libraries.
- **Analysis**: Performing spatial analysis, including spatial joins and aggregations.
## Features
- Loading and exploring geospatial datasets
- Manipulating spatial data using GeoPandas
- Visualizing spatial data with Folium and Matplotlib
- Conducting spatial analysis, including spatial joins and aggregations
## Example
## License
This project is licensed under the GPL-3.0 license - see the [LICENSE](LICENSE) file for details.