2. Pandas and Geopandas Review#
In order to successfully complete this course, learners need a background in Data Analysis and Geospatial Analysis. The code is designed to be completed using Python and its libraries Pandas, Geopandas and Rasterio, or similar. However, if you are an R or GIS user, you most likely will be able to complete the course as well.
This section is organized in 3 parts:
A list of resources to review data analysis skills
A list of resources to review geospatial skills
A final fictional case study to assess your abilities and reinforce them accordingly. In the next section we provide the solutions to the exam so you can autoevaluate your performance.
2.1. Data Science Skills#
The following resources might be of your interest to grow your skills in the Data Analysis field.
2.2. Geospatial Analysis Skills#
The following resources might be of your interest to grow your skills in Geospatial Analysis:
2.3. Case Study (Fictional)#
Last Monday, there was an earthquake in the city of San Juan, San Juan, Argentina, with a magnitude of 7.5 on the moment magnitude scale. We need you to create a report answering the below questionnaire with the below data:
Epicenter’s latitude and longitude: -31.553, -68.529
You were requested to provide:
The number of population on a buffer of 15 Km from the epicenter as an estimation of affected population.
The number of healthcare facilities on a buffer of 15 Km from the epicenter as an estimation of affected healthcare facilities.
An interactive map that shows the 15 Km buffer from the epicenter, the population by h3 level 6 hexagons and the healthcare facilities in the buffer.