Package: datazoom.amazonia 1.2.0

Laura Tavares Regadas

datazoom.amazonia: Simplify Access to Data from the Amazon Region

Provides tools for downloading and processing data on the Brazilian Amazon region from a variety of official sources. Covers environmental, agricultural, economic, and social indicators, including deforestation and land use, greenhouse gas emissions, climate, agricultural and livestock production, mining, energy, and foreign trade, from providers such as the Brazilian Institute of Geography and Statistics (IBGE), the National Institute for Space Research (INPE), and MapBiomas. Data are cleaned and standardized for analysis at the municipality, state, and regional levels.

Authors:Laura Tavares Regadas [aut, cre], DataZoom [fnd], Gustavo Gonzaga [aut], Igor Rigolon Veiga [aut], Guilherme Jardim [aut], Daniel AC Barbosa [aut], Bruno Alcantara Duarte [aut], Fredie Didier [aut], Tito Bruni [aut], Luiz Guilherme Lopes Moussatche [aut], Victor Aliende da Matta [aut], Anna Carolina Dutra Saraiva [aut], Arthur Carvalho Brito [aut], Francisco de Lima Cavalcanti [aut], Maria Mittelbach [aut], Felipe de Moraes Nunes [aut], Joao Paulo Santos P. Barbosa [aut], Bernardo Furlanetto Sieira [aut]

datazoom.amazonia_1.2.0.tar.gz
datazoom.amazonia_1.2.0.zip(r-4.7)datazoom.amazonia_1.2.0.zip(r-4.6)datazoom.amazonia_1.2.0.zip(r-4.5)
datazoom.amazonia_1.2.0.tgz(r-4.6-any)datazoom.amazonia_1.2.0.tgz(r-4.5-any)
datazoom.amazonia_1.2.0.tar.gz(r-4.7-any)datazoom.amazonia_1.2.0.tar.gz(r-4.6-any)
datazoom.amazonia_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
datazoom.amazonia/json (API)

# Install 'datazoom.amazonia' in R:
install.packages('datazoom.amazonia', repos = c('https://datazoompuc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/datazoompuc/datazoom.amazonia/issues

Datasets:
  • municipalities - IBGE codes and Legal Amazon identification of Brazilian municipalities
  • municipalities_biomes - IBGE codes and MAPBIOMAS id of Brazilian municipalities and biomes

On CRAN:

Conda:

amazoniadeforestationenvironment

10.11 score 64 stars 25 scripts 414 downloads 23 exports 69 dependencies

Last updated from:5c7954305b. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK182
source / vignettesOK259
linux-release-x86_64OK181
macos-release-arm64OK135
macos-oldrel-arm64OK181
windows-develOK102
windows-releaseOK93
windows-oldrelOK104
wasm-releaseOK177

Exports:%>%load_aneelload_baciload_br_tradeload_cempreload_censoagroload_datasusload_degradload_deterload_epeload_ibamaload_iemaload_imazonload_ipsload_mapbiomasload_pamload_pevsload_pibmunicload_populationload_ppmload_prodesload_seegload_sigmine

Dependencies:askpassbitbit64cellrangerclassclassIntclicliprcpp11crayoncurldata.tableDBIdplyre1071fsgarglegenericsgluegoogledrivehmshttrjanitorjsonliteKernSmoothlifecyclelubridatemagrittrMASSmimeopensslopenxlsxpillarpkgconfigprettyunitsprogressproxypurrrR6rappdirsRcppreadrreadxlrematchrjsonrlangrvests2selectrsfsidrarsnakecasestringistringrsystibbletidyrtidyselecttimechangetzdbunitsutf8uuidvctrsvroomwithrwkxml2zip

CENSOAGRO
Overview | Data Coverage | Available Datasets | 1. agricultural_land_area | 2. agricultural_area_use | 3. agricultural_employees_tractors | 4. agricultural_producer_condition | 5. animal_production | 6. animal_products | 7. vegetable_production_area | 8. vegetable_production_temporary | 9. vegetable_production_permanent | 10. livestock_production | Function Parameters | 1. dataset | 2. raw_data | 3. geo_level | 4. time_period | 5. language | Examples | Data Notes | Raw vs. Treated Data | Data Organization | Important Considerations | Citing the Data
Rendered fromCENSOAGRO.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2023-10-24

COMEX
Overview | Data Source and Coverage | Available Datasets | 1. export_mun (Exports by Municipality) | 2. import_mun (Imports by Municipality) | 3. export_prod (Exports by Producer) | 4. import_prod (Imports by Producer) | Function Parameters | 1. dataset | 2. raw_data | 3. time_period | 4. language | Examples | Data Notes | Raw vs. Treated Data | Product Classification | Data Characteristics | Nomenclature Conversion
Rendered fromCOMEX.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2020-11-24

DEGRAD
Overview | Data Source and Methodology | Important Data Characteristics | Data Organization | Spatial Integration | Available Dataset | degrad (Forest Degradation) | Function Parameters | 1. dataset | 2. raw_data | 3. time_period | 4. language | Data Structure | Examples | Data Notes | Data Organization Complexity | Degradation Types | Spatial Considerations | Data Limitations
Rendered fromDEGRAD.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2021-02-02

DETER
Overview | Data Source and Methodology | Available Datasets | 1. deter_amz (DETER Amazon) | 2. deter_cerrado (DETER Cerrado) | Important Data Characteristics | Raw Data Structure | Data Processing | Function Parameters | 1. dataset | 2. raw_data | 3. language | Examples | Data Notes | Raw Data Limitations | Data Structure | Important Considerations
Rendered fromDETER.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2021-02-03

legal_amazon
Overview | Data Source | Dataset Structure | Key Variables | Data Types | Accessing the Dataset | In R Code | What It Contains | Common Use Cases | Use Case 1: Filter Data to Legal Amazon | Use Case 2: Partial Amazon Municipalities | Key Characteristics | Municipal Coverage | Legal Amazon Definition | Partial Inclusion | Important Notes | Boundary Changes | Code Consistency | Spatial Data | Accessing Spatial Data | For Mapping and Spatial Analysis | Troubleshooting | Matching Issues | Geographic Analysis | Data Integration | Related Resources
Rendered frommunicipalities.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2022-10-14

PRODES
Overview | Data Source and Methodology | Available Datasets | 1. deforestation | 2. residual_deforestation | 3. native_vegetation | 4. hydrography | 5. non_forest | 6. clouds | Important Data Characteristics | Raw vs. Treated Data | Cumulative vs. Incremental Data | Data Organization | Function Parameters | 1. dataset | 2. raw_data | 3. time_period | 4. language | Examples | Example 1: Deforestation data for a single year | Example 2: Deforestation data over multiple years | Example 3: Cumulative forest loss since 1988 | Example 4: Residual deforestation | Data Notes | Raw Raster Data Characteristics | Municipality Aggregates | Data Quality and Accuracy | Limitations
Rendered fromPRODES.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2020-10-10

SEEG
Overview | Data Source and Methodology | Available Datasets | 1. seeg (All Sectors Combined) | 2. seeg_farming (Agricultural and Livestock Emissions) | 3. seeg_energy (Energy Sector Emissions) | 4. seeg_land (Land Use Change Emissions) | 5. seeg_industry (Industrial Process Emissions) | 6. seeg_residuals (Waste and Residuals Emissions) | Important Data Characteristics | Collection 9 Data | Emissions Units | Download Considerations | Function Parameters | 1. dataset | 2. raw_data | 3. geo_level | 4. language | Examples | Example 1: All sectors combined (raw data) at the country level | Example 2: Agricultural emissions by state | Example 3: Land use change emissions by state | Example 4: Energy emissions by municipality | Example 5: Industrial process emissions by state | Example 6: Waste emissions by state | Data Notes | Emission Sources Included | Methodology | Data Quality | Limitations
Rendered fromSEEG.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2021-04-27

SIGMINE
Overview | Data Source and Information | Available Dataset | sigmine_active (Active Mining Operations) | Function Parameters | 1. dataset | 2. raw_data | 3. language | Data Structure | Examples | Example 1: Active mining data in portuguese | Example 2: Active mining data in english | Data Notes | Mining Authorization Status | Minerals Covered | Data Updates | Geographic Information | Important Limitations
Rendered fromSIGMINE.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2021-02-26

TerraClimate
Overview | Data Source and Methodology | Available Climate Variables | Data Format and Coverage | Spatial Resolution | Temporal Resolution | Data Type | Function Parameters | 1. dataset | 2. raw_data | 3. time_period | 4. legal_amazon_only | 5. language | Important Download Considerations | Examples | Data Notes | Variable Definitions | Data Quality | Important Limitations | Recommended Processing
Rendered fromTERRACLIMATE.Rmdusingknitr::rmarkdown

Last update: 2026-07-02
Started: 2022-03-19

BACI
Overview | Data Source and Methodology | Available Dataset | HS92 (Harmonized System 1992) | Important Information About Downloads | Download Size and Time | Function Parameters | 1. dataset | 2. raw_data | 3. time_period | 4. language | Examples | Data Notes | Raw vs. Treated Data | Data Structure | Country and Product Coverage | Quality Notes
Rendered fromBACI.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2022-03-21

CEMPRE
Overview | Data Coverage | Dataset Description | Key Variables | Geographic Aggregation Levels | Sectoral Detail | Function Parameters | Examples
Rendered fromCEMPRE.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-03-02

IBAMA
Overview | Data Coverage | Dataset Description | Available Datasets | Key Variables | Data Aggregation | Function Parameters | Examples
Rendered fromIBAMA.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-04-27

IEMA
Overview | Data Coverage | Dataset Description | Key Variables | Geographic Coverage | Energy Access Dimensions | Function Parameters | Data Limitations | Examples
Rendered fromIEMA.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2022-07-07

IMAZON
Overview | Data Source | Available Dataset | imazon_shp (Imazon Municipality Pressure Index) | Deforestation Pressure Categories | Function Parameters | 1. dataset | 2. raw_data | 3. language | Examples | Data Notes | Data Format | Pressure Categories | Important Limitations | Using with Other Datasets
Rendered fromIMAZON.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2022-08-24

MAPBIOMAS
Overview | Data Coverage | Available Datasets | 1. Land Cover ("mapbiomas_cover") | 2. Land Cover Transitions ("mapbiomas_transition") | 3. Deforestation and Regeneration ("mapbiomas_deforestation_regeneration") | 4. Mining Activities ("mapbiomas_mining") | 5. Irrigation ("mapbiomas_irrigation") | 6. Water Bodies ("mapbiomas_water") | 7. Wildfire Burn Scars ("mapbiomas_fire") | Function Parameters | Measurement Units and Notes | Examples
Rendered fromMAPBIOMAS.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-01-23

PEVS
Overview | Data Source and Coverage | Available Datasets | 1. pevs_forest_crops | 2. pevs_silviculture | 3. pevs_silviculture_area | Function Parameters | 1. dataset | 2. raw_data | 3. geo_level | 4. time_period | 5. language | Examples | Example 1: Forest crop production by state | Example 2: Silviculture area by state over time | Example 3: Silviculture production by region | Data Notes | Data Structure | Product Categories | Raw vs. Treated Data | Important Limitations | Units of Measurement
Rendered fromPEVS.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-04-27

PIBMUNIC
Overview | Data Source and Methodology | Available Dataset | pibmunic | Function Parameters | 1. dataset | 2. raw_data | 3. geo_level | 4. time_period | 5. language | Examples | Example 1: Municipal GDP for a single year | Example 2: State-level GDP over time | Example 3: Country-level GDP in Portuguese | Data Notes | Variables Structure | Current Prices | Data Coverage | Important Limitations
Rendered fromPIBMUNIC.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-08-30

POPULATION
Overview | Data Source and Methodology | Available Dataset | population | Important Data Characteristics | Census Years vs. Estimate Years | Population Definition | Function Parameters | 1. dataset | 2. raw_data | 3. geo_level | 4. time_period | 5. language | Examples | Example 1: Population by state for a single year | Example 2: Population by state over time | Example 3: Population by municipality | Data Notes | Data Structure | Census vs. Estimate Quality | Municipal Variations | Important Limitations
Rendered fromPOPULATION.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2023-04-24

PPM
Overview | Data Source and Methodology | Available Datasets | 1. ppm_livestock_inventory | 2. ppm_sheep_farming | 3. ppm_animal_origin_production | 4. ppm_cow_farming | 5. ppm_aquaculture | Function Parameters | 1. dataset | 2. raw_data | 3. geo_level | 4. time_period | 5. language | Examples | Example 1: Livestock inventory by state | Example 2: Dairy cow farming by state | Example 3: Animal origin production at the country level | Example 4: Sheep farming by state | Example 5: Aquaculture by state over time | Data Notes | Data Structure | Units of Measurement | Raw vs. Treated Data | Important Limitations
Rendered fromPPM.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-08-30

Social Progress Index
Overview | Data Source and Methodology | Available Dimensions | 1. all | 2. life_quality | 3. sanit_habit | 4. violence | 5. educ | 6. communic | 7. mortality | 8. deforest | Function Parameters | 1. dataset | 2. raw_data | 3. time_period | 4. language | Examples | Data Notes | Index Scales | Dimensions and Indicators | Temporal Comparisons | Missing Data | Geographic Coverage
Rendered fromIPS.Rmdusingknitr::rmarkdown

Last update: 2026-06-25
Started: 2021-03-10

ANEEL
Energy Development Budget | Energy Generation | Energy Enterprises
Rendered fromANEEL.Rmdusingknitr::rmarkdown

Last update: 2026-06-01
Started: 2022-12-24

EPE
Consumer Energy Consumption | Industrial Energy Consumption | National Energy Balance | State Energy Production Panel
Rendered fromEPE.Rmdusingknitr::rmarkdown

Last update: 2026-05-18
Started: 2022-12-24

PAM
Rendered fromPAM.Rmdusingknitr::rmarkdown

Last update: 2025-08-19
Started: 2021-03-04

GOOGLEDRIVE
Rendered fromGOOGLEDRIVE.Rmdusingknitr::rmarkdown

Last update: 2023-12-14
Started: 2022-11-08