The MAPBIOMAS project gathers data reporting the type of land covering each year by area, that is, for example, the area used for a temporary crop of soybeans. It also reports the transition between coverings during given years.
The data available has an yearly frequency and is available starting from the year 1989.
"mapbiomas_cover": types of land cover
"mapbiomas_transition": changes in land cover
"mapbiomas_deforestation_regeneration": deforestation and forest regeneration
"mapbiomas_irrigation": irrigated areas
"mapbiomas_grazing_quality": grazing quality
"mapbiomas_mining": areas used for mining
raw_data: there are two options:
TRUE: if you want the data as it is originally.
FALSE: if you want the treated version of the data.
"mapbiomas_transition", can be
"mapbiomas_mining", can be
language: you can choose between Portuguese
("pt") and English
cover_level: Aggregates the data to some level
of land coverage. Only applies to datasets
cover_level = "none": no aggregation
cover_level = 0: least aggregated, with categories of Anthropic and Natural
cover_level = 1: categories such as Forest, Non Forest Natural Formation, Farming, Non Vegetated Area, Water, Non Observed
cover_level = 2: categories such as Agriculture, Aquaculture, Beach and Dune, Forest Plantation, Pasture, River, Lake and Ocean
cover_level = 3: categories such as Aquaculture, Beach and Dune, Forest Formation, Forest Plantation
cover_level = 4: categories such as Aquaculture, Beach and Dune, Forest Formation, Forest Plantation
# download treated Mapbiomas Cover data in english at the highest aggregation level <- load_mapbiomas(dataset = "mapbiomas_cover", data raw_data = FALSE, geo_level = "municipality", language = "eng", cover_level = 0) # download treated Mapbiomas Transition data in portuguese <- load_mapbiomas(dataset = "mapbiomas_transition", raw_data = FALSE, data geo_level = "state", language = "pt") # download treated data on mining on indigenous lands <- load_mapbiomas("mapbiomas_mining", data raw_data = FALSE, geo_level = "indigenous_land")