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IBAMA
Overview
The Brazilian Institute of Environment and Renewable Natural
Resources (Instituto Brasileiro do Meio Ambiente e dos Recursos Naturais
Renováveis - IBAMA) dataset documents environmental enforcement actions,
including embargoes of productive assets and fines issued for
environmental violations. This dataset provides individual-level records
of environmental infractions from 2005 onwards, representing the
enforcement activity of Brazil’s primary federal environmental
agency.
The data covers environmental violations across multiple sectors
including deforestation, illegal mining, wildlife trafficking, illegal
fishing, and other environmental crimes.
Data Coverage
The IBAMA dataset includes:
- Time Period: Individual enforcement records from
2005 to present
- Geographic Coverage: All Brazilian states and the
Legal Amazon region
- Infraction Types: Environmental violations across
forestry, biodiversity, and natural resource management
- Actions: Embargoed areas, distributed fines, and
collected fines
- Individual-Level Detail: Each record represents a
specific infraction event
Dataset Description
Available Datasets
The function provides access to three distinct datasets tracking
different stages of environmental enforcement:
- Embargoed Areas (
"embargoed_areas")
- Areas of land subject to federal environmental embargo
- Productively assets frozen due to illegal activities (typically
deforestation)
- Includes area size, location, and embargo date
- Useful for measuring enforcement scope and geographic patterns
- Distributed Fines
(
"distributed_fines")
- Environmental fines issued by IBAMA for violations
- Fines not yet paid by individuals or corporations
- Include violation type, fine amount, and entity responsible
- Track enforcement intensity and violation frequency
- Collected Fines (
"collected_fines")
- Environmental fines that have been paid
- Represents actual revenue recovery from environmental
violations
- Subset of distributed fines with payment confirmation
- Indicates compliance and enforcement effectiveness
Key Variables
- Infraction Information: Type of violation, legal
basis, date of infraction
- Location: State, municipality, coordinates (when
available)
- Enforcement Action: Type of action (embargo, fine),
date of action
- Financial Data: Fine amount, payment status,
payment date
- Entity Information: Individual or corporate
identifier, sector
- Embargo Details: Embargoed area size, land type,
geographic descriptors
Data Aggregation
The function returns either: - Raw Data: Individual
infraction records (original format) - Aggregated Data:
Summary statistics for each time-location period, including: - Total
number of infractions - Infractions sent to prosecution - Infractions
with ongoing legal proceedings - Embargoed area totals - Fine totals and
collection rates
Function Parameters
Options:
- dataset: Three possible choices
"embargoed_areas": Embargoed productive areas
"distributed_fines": Issued fines (paid or unpaid)
"collected_fines": Fines that have been paid
- raw_data:
TRUE: Individual-level records as originally
recorded
FALSE: Treated/aggregated version of the data
- states:
- Specifies which states to download (default:
"all")
- Single state example:
"AC" (Acre)
- Multiple states example:
c("AC", "AM", "AP") (Acre,
Amazonas, Amapá)
- Does not apply to embargoed_areas dataset
- language:
"pt": Portuguese language labels and names
"eng": English language
Examples
# download treated embargoed areas data in english
data <- load_ibama(
dataset = "embargoed_areas",
raw_data = FALSE,
language = "eng"
)
# download treated collected fines data from Bahia
data <- load_ibama(
dataset = "collected_fines",
raw_data = FALSE,
states = "BA",
language = "pt"
)
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.