Summary | Description | Getting ready | Cleaning data | Import data | Basic cleaning steps | Other cleaning steps | Saving results

Summary | Description | Getting ready | Preparing data | Example data | First steps in preparing data | Using pre-processed data | Exploring prepared data | Comparative histograms | Distribution of data for models | Similarity assessment in partitions | More options to prepare data | Custom formulas | Using a bias file | PCA for variables | Internal PCA | External PCA | Using external data partitions | ENMeval partitions | flexsdm partitions | Saving prepared data

Summary | Description | Getting ready | Preparing data | Calibration | Maxnet models | GLMs | Concave curves | Re-selecting models | Training partition effects | Saving a calibration_results object

Summary | Description | Getting ready | Fitting selected models | Response curves | All response curves | Customized response curves | Bivariate response curves | Variable importance | Evaluation with independent data | Saving a fitted_models object

Summary | Description | Getting ready | Fitted models | Model predictions | Predict to SpatRaster | Predict to data.frame | Options for predictions | Output type | Clamping variables | No extrapolation | Binarize predictions | Saving predictions | Detecting changes in predictions

Summary | Description | Getting ready | Fitted models | Variables for projections | Variables from WorldClim | Format for renaming | Static variables | Organizing files | Preparing data for projections | Projecting to multiple scenarios | Importing results from projections | Detecting changes in projections | Setting colors for maps | Types os results | Importing Results | Saving results

Summary | Description | Getting ready | Loading and preparing data | Exploring variability | Importing Results | Saving results | Assessing extrapolation risks | MOP result options | Distances | Basic | Simple | Towards high and low ends | Combined results | Handling values within range | MOP results and response curves | Saving and importing results

Summary | Description | Getting ready | Naming files for projections | Getting variables | Downloading LGM variables | Downloading current variables | Subsetting and renaming | Organizing variables | Data preparation for model projections | Projecting models | Detecting changes: Past vs present

Introduction | What is Fauna do Brasil? | Overview of the functions: | Installation | Install development version from GitHub | Get data from Fauna do Brasil | Loading the data | Translate information | Save data

Introdução | O que é a Fauna do Brasil? | Descrição geral das funções do pacote: | Instalação | Instalar a versão em desenvolvimento do GitHub | Obtendo dados da Fauna do Brasil | Carregando os dados | Traduzir atributos | Salvar dados

Introduction | Proposed workflow | Overview of the functions: | Getting ready | Downloading distribution datasets | World Checklist of Vascular Plants (WCVP) | Botanical Information and Ecology Network (BIEN) | IUCN | Brazilian Flora and Funga (florabr) | Taxonomic Catalog of the Brazilian Fauna (faunabr) | Checking data availability | Flagging with expert information | Using World Checklist of Vascular Plants (WCVP) | Using IUCN | Using Botanical Information and Ecology Network (BIEN) | Using Brazilian Flora and Funga (florabr) | Using Taxonomic Catalog of the Brazilian Fauna (faunabr) | Map of occurrence flags | Summarizing flags

Introduction | Proposed workflow | Overview of the functions: | Getting ready | Removing invalid coordinates (remove_invalid_coordinates()) | Flagging based on metadata information | Fossil records | Cultivated individuals | Records from iNaturalist | Records outside a year range | Flagging duplicates | Spatial cleaning (CoordinateCleaner) | Implement flags from CoordinateCleaner | Map of occurrence flags | Get consensus across multiple flags | Removing flagged records | Summarizing flags | Spatial aggregation of records and flags | Mapping species richness and record density | Mapping data quality flags

Introduction | Heatmap for occurrence data | Thinning in geographic space | Selecting the best distance to thin records | Thinning in environmental space | Selecting the best number of environmental bins | Consensus between environmental and geographic thinning

Introduction | Overview of the functions: | Setting up credentials | GBIF | SpeciesLink | Data acquisition | SpeciesLink, BIEN, and iDigBio | Standardization and unification | Standardizing columns (format_columns) | Customizing Metadata (create_metadata) | Spatialization (spatialize)

Introduction | Overview of the functions: | Standardizing country and state names | Occurrence data | Standardizing countries (standardize_countries) | Standardizing states (standardize_states) | Imputing geographic information from coordinates | Extracting country from coordinates (country_from_coords) | Extracting state from coordinates (states_from_coords) | Checking and fixing spatial inconsistencies | Checking country consistency (check_countries) | Checking state consistency (check_states) | Fixing coordinate errors explicitly (fix_countries)

Selecionar uma lista de espécies | Carregando os dados | Como selecionar uma lista de espécies? | Checagem de nomes científicos e subseleção de espécies | Extraindo o nome binomial | Checando se os nomes das espécies estão corretos | Subselecionando espécies | Obtendo sinônimos

Selecting a list of species | Loading data | Checking names and subsetting species | Extracting binomial name | Checking the species names | Subsetting species | Retrieving synonyms

Loading data | Get spatial polygons of species distribution | Filtering occurrence records using distribution information in Fauna do Brasil

Loading data | Getting a presence-absence matrix

Carregando os dados | Obtendo uma matriz de presença-ausência

Carregando os dados | Obter polígonos espaciais da distribuição de espécies | Filtrando registros de ocorrência usando informações de distribuição no Fauna do Brasil

Introduction | What is Flora e Funga do Brasil? | Overview of the functions: | Installation | Install stable version from CRAN | Install development version from GitHub | Get data from Flora e Funga do Brasil | Loading the data | Solve discrepancies

Selecting a list of species | Loading data | Checking names and subsetting species | Extracting binomial name | Checking the species names | Subsetting species | Retrieving synonyms

Loading data | Get spatial polygons of species distribution | Including a more complex polygon of states and biomes | Filtering occurrence records using distribution information in Flora e Funga do Brasil

Loading data | Getting a presence-absence matrix