Studio 03 GeoPandas

Author

Serge Rey

Instructions

Teams
DUE: Wednesday, September 18, 2024 3:30pm

The team leader will submit a pdf version of the notebook showing all the work to answer the questions.

The first cell of the notebook should have a list of the team members (first and last names) with the team leader in bold. (Hint: Markdown cell).

Input Files

The files you will read are:

~/data/385/studio03/schools.geojson
~/data/385/studio03/streets.geojson
~/data/385/studio03/catchments.geojson

Reading the spatial data files

Read in each of three data files to create three geodataframes: schools, catchments, streets

import geopandas as gpd

# uncomment the following line and complete the code
# schools = gpd.read_file("???")

Report the number of rows in each GeoDataFrame

Determine the datatype of the geoseries for each GeoDataFrame

Determine the student density in each catchment

Assuming that the catchment student populations are 140, 200, 75, create a new variable that is called sdensity that is defined as the ratio of the number of students per unit area of the catchment.

Plot the `sdensity` variable

Plotting multiple layers

Read the guide on Control the order of multiple layers in a plot and plot the three layers together on one plot with the catchments below the streets and schools.

Ensure that the different geometries are visually distinguishable.

---
title: Studio 03 GeoPandas
author: Serge Rey
format:
  html:
    code-fold: false
jupyter: python3
---

## Instructions

[Teams](https://sdsu.instructure.com/courses/157862/assignments/1398296)  
**DUE: Wednesday, September 18, 2024 3:30pm** 

The team leader will submit a pdf version of the notebook showing all the work
to answer the questions.

The first cell of the notebook should have a list of the team members (first and
last names) with the team leader in bold. (Hint: Markdown cell).

## Input Files
The files you will read are:

```
~/data/385/studio03/schools.geojson
~/data/385/studio03/streets.geojson
~/data/385/studio03/catchments.geojson
```


## Reading the spatial data files
Read in each of three data files to create three geodataframes: `schools`,
`catchments`, `streets`
```{python}
import geopandas as gpd

# uncomment the following line and complete the code
# schools = gpd.read_file("???")
```

## Report the number of rows in each GeoDataFrame

## Determine the datatype of the geoseries for each GeoDataFrame

## Determine the student density in each catchment
Assuming that the catchment student populations are 140, 200, 75, create a new variable that is called `sdensity` that is defined as the ratio of the number of students per unit area of the catchment.


## Plot the `sdensity` variable
## Plotting multiple layers

Read the guide on [Control the order of multiple layers in a plot](https://geopandas.org/en/stable/docs/user_guide/mapping.html#control-the-order-of-multiple-layers-in-a-plot) and plot the three layers together on one plot with the catchments below the streets and schools.

Ensure that the different geometries are visually distinguishable.