---
authors:
  - admin
categories:
  - Python
  - Exploratory Data Analysis
  - Remote Sensing
draft: false
featured: false
date: "2023-08-26T00:00:00Z"
external_link: ""
image:
  caption: ""
  focal_point: Smart
links:
- icon: open-data
  icon_pack: ai
  name: GoogleColab
  url: https://colab.research.google.com/github/quarcs-lab/project2021o-notebook/blob/main/notebookColab.ipynb
- icon: markdown
  icon_pack: fab
  name: "MD version"
  url: https://raw.githubusercontent.com/cmg777/starter-academic-v501/master/content/post/python_monitor_regional_development/index.md
slides: 
summary: A geocomputational notebook to monitor regional development in Bolivia using Python. Besides exploratory data analysis, the notebook introduces geospatial mapping, spatial dependence, spatial inequality, and spatial heterogeneity.
tags:
- spatial
- python
- regional
- exploratory data analysis
- remote sensing
title: Monitoring regional sustainable development
url_code: ""
url_pdf: ""
url_slides: ""
url_video: ""
---

# **A geocomputational notebook to monitor regional development in Bolivia**

Carlos Mendez (Nagoya Univerisity), Erick Gonzales (United Nations), Lykke Andersen (SDSN Bolivia)

- Exploratory data analysis
- Exploratory spatial data analysis
  - Spatial dependence
  - Spatial inequality
  - Spatial heterogeneity

```
https://shorturl.at/evEFS
```
[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/quarcs-lab/project2021o-notebook/blob/main/notebookColab.ipynb)


```
Suggested citation:
Mendez, C., Gonzales, E., & Andersen, L. (2023). A geocomputational notebook to monitor regional development in Bolivia. Zenodo. https://doi.org/10.5281/zenodo.828685
```
[![DOI](https://zenodo.org/badge/683583423.svg)](https://zenodo.org/badge/latestdoi/683583423)

Github repository: https://github.com/quarcs-lab/project2021o-notebook