Introduction | Installation | Main functions | Available series | Available subjects | Available territorial divisions | Search series | Metadata | Data | Basic plot | Variable labels

Geolocalização: de endereços para coordenadas espaciais | Processo de matching de endereços | Grau de precisão dos resultados | Precisão | Tipos de resultados | Desvio em metros | Código do setor censitário

Geolocalização reversa: de coordenadas espaciais para endereços

Instalação | Utilização | 1. Geolocalização: de endereços para coordenadas espaciais | 2. Geolocalização reversa: de coordenadas espaciais para endereços | 3. Busca por CEPs | Cache de dados

Demonstration on sample data | Palma Ratio | Gini Index | Concentration Index | Theil T | Foster-Greer-Thorbecke (FGT) poverty measures | References

English | Validation Logic | Lógica de Validação

1. Introduction | 2. Simple or detailed fleet data table | Example of simple fleet table | Example of detailed fleet table | 3. Fleet characteristics vary by emission factor model | 4. Examples of fleet data tables | 4.1 Brazil: Environmental Company of Sao Paulo (CETESB): | 4.2 Europe: EMEP - European Environment Agency (EEA) | 4.3 United States: EMFAC2017 - California Air Resources Board (CARB) | 4.4 United States: MOVES3 - Environmental Protection Agency (EPA) | Learn more | Report a bug

Currently available decay functions | Binary | Linear | Negative exponential | Inverse power | Stepped | Logistic | Quick demonstration | Using a custom decay function

Installation | Overview of the package | Demonstration on sample data | Data requirements | Minimum travel cost | Cutoff-based cumulative opportunities | Interval-based cumulative opportunities | Gravity measures | Floating catchment area | Spatial availability | Balancing cost | Visualize results | References

1) read_flights(): | 2) read_airports(): | 3) read_aircraft(): | 4) read_airport_movements(): | 5) read_airfares(): | Basic usage | Download flights data: | Download airports data: | Download data of aircraft: | Download data on airport movements: | Download data on data on air fares of domestic flights in Brazil:

Instalação | Utilização | Padronização de múltiplos campos simultaneamente | Padronização de campos individuais | Controle de verbosidade

Filtering by agency_id, route_id, service_id, shape_id, stop_id, trip_id or route_type: | Filtering by day of the week or time of the day: | Filtering using a spatial extent

GTFS feeds | Basic usage | Read feeds | Analyse feeds | Manipulate feeds | Write feeds

Available emission factor models | Visualizing emission factor data | Scaling Emission Factors: making emission factors speed-dependent | Checking gtfs2emis imported data | Learn more | Report a bug

Tire | Brake | Road Wear | Viewing Emissions | a) Preparing the data | b) Creating spatial grid | c) Generating spatial and temporal patterns | References | Report a bug

Introduction | Loading data | Converting to GPS-like format | Methodological note | Final remarks

Installation | Demonstration on sample data | Data input | Calculating UCI | Formal definition of UCI | Bootstraping Vmax | References

Installation | Usage | extract() | tags_filter() | show_content() | Acknowledgement

1. Introduction | 2. Installation | 3. Data requirements | 4. Package Overview | 5. Demonstration of sample data | 5.1 Transport model | 5.2 Fleet data | 5.3 Emission model | 6 Analyzing emission estimates | 6.1 Total emissions by pollutant | 6.2 Total emissions by vehicle type | 6.3 Total emissions by time of the day | 6.4 Spatial distribution of emissions | Learn more | Report a bug