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Get started with tidyBdE4 days ago
Search for time series | Plot time series | A note on caching
Banco de España bulk CSV files5 days ago
Introduction | Time-series files | Content of the catalog file | Content of files with series values | Loading CSV files | Annex I: Statistical publications | Annex II: Date formats
Extending climaemet7 days ago
Retrieve normalized text | Retrieve maps
Get started with climaemet7 days ago
API key | Get your API key | a. Set API key with aemet_api_key() | b. Use an environment variable | c. Modify your .Renviron file | Data formats | Tabular results | Spatial objects with sf | Additional features
Get started9 days ago
Introduction | Caching | Basic example | Choropleth and label maps | Thematic maps | mapSpain and giscoR | Working with static map tiles
Static map tiles with mapSpain14 days ago
Get started16 days ago
OVCCoordenadas service | INSPIRE services | Examples | Working with layers | Thematic maps | References
OVCCoordenadas web service25 days ago
CatastRo API | Reverse geocoding cadastral references | Geocoding a cadastral reference
Get started2 months ago
INSPIRE Services | Examples | Thematic maps | References
Get started2 months ago
Using infoelectoral to make electoral maps2 months ago
Install and load the packages | Download the results | Import the geometries | Recode party names | Join data and sf object | Visualize
Codebook and cookbook for v2 (2022 onwards) Spanish mobility data3 months ago
1. Spatial data with zoning boundaries | 1.1 Districts | 1.2 Municipalities | 1.3 LUAs (Large Urban Areas) | 2. Mobility data | 2.1. Origin-destination data | 2.2. Population by trip count data | 2.3. Population by overnight stay data | Advanced use
Example of a precomputed vignette - Quarto3 months ago
Codebook and cookbook for v1 (2020-2021) Spanish mobility data4 months ago
1. Spatial data with zoning boundaries | 1.1 Districts | 1.2 Municipalities | 2. Mobility data | 2.1. Origin-Destination data | 2.2. Population by trip count data | Advanced use
Download and convert mobility datasets4 months ago
Introduction | Two ways to get the data | Analysing large datasets | How to choose between DuckDB, Parquet, and CSV | Analysis Speed | Convenience of data analysis | Scenarios of getting the data | Setup | Getting a single day with spod_get() | Analysing the data using DuckDB database | Convert to DuckDB | Load the converted DuckDB | Analysing the data using Parquet | Convert to Parquet | Load the converted Parquet | Download all available data | Download all data | Convert all data into analysis ready format | Conversion speed | Connecting to and analysing the converted datasets
Quicky get daily data4 months ago
Introduction | Setup | Get the data | Get all flows with at least 1000 trips | Get only trips of certain length | Get only trips between certain municipalities | All trips from Madrid | All trips from Madrid to Barcelona
Get started2 years ago
INSPIRE Services | Examples | Thematic maps
Use case: migration flows3 years ago
Visualizando las puntuaciones3 years ago