Python Geospatial Data Analysis

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Dans ce projet guidé, vous :

Learn how to manipulate geospatial data.

Generate heat maps and marker clusters using Folium.

Convert your jupyter notebook into a dashboard using a single line of code.

Clock2 hours
BeginnerDébutant
CloudAucun téléchargement requis
VideoVidéo en écran partagé
Comment DotsAnglais
LaptopOrdinateur de bureau uniquement

Note: Read the prerequisites carefully. If you do not know intermediate pandas and intermediate Python you will not be able to understand this project. This guided project is for beginners who want to learn about geospatial data analysis using Python. You will analyze crime data from the Boston Police Department. It is a clean dataset, so you can get straight to generating interactive maps. While you are watching me code, you will get a cloud desktop with all the required software pre-installed. This will allow you to code along with me. After all, we learn best with active, hands-on learning. Generate interactive maps in under an hour, just like this: https://vinitasilaparasetty.github.io/coursera-spatial-data-analysis/ By the end of this project, you will know how to generate maps using folium and analyze geospatial data using geovisualization. Then you will learn how to identify possible contributing factors for the problem statement. Special Features: 1) Learn a cool hack using one line of code to convert a jupyter notebook into a dashboard. 2) After you complete this project, you get a jupyter notebook of all the work you covered. It acts as a useful learning tool that you can refer to at any time in the future. 3) Examples for logical thinking required for geospatial data analysis are provided. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Les compétences que vous développerez

Data ScienceGeovisualizationPython ProgrammingSpatial Analysisgeospatial data analysis

Apprendrez étape par étape

Votre enseignant(e) vous guidera étape par étape, grâce à une vidéo en écran partagé sur votre espace de travail :

  1. Generate marker clusters to indicate crime scenes.

  2. Generate heat map with circular markers to indicate unsafe districts

  3. Generate open street map with heatmap overlay for in depth analysis.

  4. Generate maps for specific crimes, to find possible causes for the particular crime.

  5. Convert jupyter notebook to dashboard.

Comment fonctionnent les projets guidés

Votre espace de travail est un bureau cloud situé dans votre navigateur, aucun téléchargement n'est requis.

Votre enseignant(e) vous guide étape par étape dans une vidéo en écran partagé

Enseignant

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