OVCCoordenadas service | INSPIRE services | Examples | Working with layers | Thematic maps | References

Retrieve normalized text | Retrieve maps

API key | Get an API key | Set the API key with aemet_api_key() | Use an environment variable | Modify your .Renviron file | Data formats | Tabular results | Spatial objects with sf | Additional features

INSPIRE services | Examples | Working with layers | Thematic maps | References

Operation | GitHub Actions | Limitations | Supported features | Inline formatting | Code | Figures | Equations | Cross-references | To-do

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

Search for time series | Plot time series | Caching

Introduction | Caching | Basic example | Choropleth and label maps | Thematic maps | mapSpain and giscoR | Working with static map tiles

CatastRo API | Reverse geocoding coordinates | Geocoding a cadastral reference

Install and load the packages | Download the results | Import the geometries | Recode party names | Join data and sf object | Visualize

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

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

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

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

INSPIRE Services | Examples | Thematic maps