Reference: Rorato, A.C., Dal’Asta, A.P., Lana, R.M. et al. Trajetorias: a dataset of environmental, epidemiological, and economic indicators for the Brazilian Amazon. Sci Data 10, 65 (2023). https://doi.org/10.1038/s41597-023-01962-1.

Data source: https://zenodo.org/records/7098053.

Original maps available at https://github.com/Trajetorias-Sinbiose/map_repository/tree/main

Structure of the dataset

The Trajetorias dataset contains data of each municipality of Brazil’s Legal Amazon in 2006 and 2017. It contains a rich set of indicators that allow analyzing the spatial and temporal relationship between economic trajectories, availability of natural resources and disease transmission 1.

This is the overall structure of the dataset as described in the file TRAJETORIAS_DATASET_Data_Source.csv

Environmental dimension

The environmental dimension is divided four subdimensions: Habitat loss, Land use and cover, Climate anomalies, and Transport network density. Each subdimension has several indicators. file:TRAJETORIAS_DATASET_Environmental_dimension_indicators.csv

1. Subdimension Habitat Loss

Indicator: Deforestation

Data source: PRODES (Brazilian Amazon Deforestation Monitoring Project from INPE). Available in http://terrabrasilis.dpi.inpe.br/downloads/

Indicator: Forest degradation

Data source: DEGRAD and DETER (Real-Time Deforestation Detection System) programs from INPE. Available in http://www.obt.inpe.br/OBT/assuntos/programas/amazonia/degrad/acesso-ao-dados-do-degrad http://terrabrasilis.dpi.inpe.br/downloads/

Indicator: Fires

Data source: MODIS Burned Area Product. Available at https://modis-fire.umd.edu/ba.html

Indicator: Mining

Data source: MAPBIOMAS Project (Collection 6). Available at https://mapbiomas.org/colecoes-mapbiomas-1?cama_set_language=pt-BR

Indicator: Vegetation fragmentation

Data source: Camara et al., 2020. Available at Câmara, G et al. (2020): Land use and land cover maps for Amazon biome in Brazil for 2001-2019 derived from MODIS time series (pangaea.de)

Data source: Camara et al., 2020. Available at Câmara, G et al. (2020): Land use and land cover maps for Amazon biome in Brazil for 2001-2019 derived from MODIS time series (pangaea.de)

2. Subdimension Land Use and Land Recovery

Indicator: Remnant forest

Data source: PRODES (Brazilian Amazon Deforestation Monitoring Project from INPE). Available in http://terrabrasilis.dpi.inpe.br/downloads/

Indicator: Secondary vegetation

Data source: Camara et al., 2020. Available at Câmara, G et al. (2020): Land use and land cover maps for Amazon biome in Brazil for 2001-2019 derived from MODIS time series (pangaea.de)

Indicator: Pasture

Data source: Camara et al., 2020. Available at Câmara, G et al. (2020): Land use and land cover maps for Amazon biome in Brazil for 2001-2019 derived from MODIS time series (pangaea.de)

Indicator: Crop

Data source: Camara et al., 2020. Available at Câmara, G et al. (2020): Land use and land cover maps for Amazon biome in Brazil for 2001-2019 derived from MODIS time series (pangaea.de)

Indicator: Urban area

Data source: MAPBIOMAS Project (Collection 6) Available at https://mapbiomas.org/colecoes-mapbiomas-1?cama_set_language=pt-BR

3. Transportation Networks

Indicator: Roads networks

Data source: LAPIG (Laboratory of Image Processing and Geoprocessing at the Federal University of Goiás) and RAISG (Amazon Network of Georeferenced Social and Environmental Information). Available at Mapas y Publicaciones – RAISG (amazoniasocioambiental.org)

Indicator: Waterways network

Data source: DNIT (National Infrastructure and Transport Department) and ANTAQ (National Water Transport Agency). Available at https://metadados.snirh.gov.br/geonetwork/srv/api/records/48e26e99-db01-45dc-a270-79f27680167b

Indicator: Ports

Data source: DNIT (National Infrastructure and Transport Department). Available at https://servicos.dnit.gov.br/vgeo/

4. Climate Anomalies

Indicator: Precipitation

Data source: WorldClim - Historical monthly weather data Available at https://www.worldclim.org/data/monthlywth.html#

Indicator: Temperature

Data source: WorldClim - Historical monthly weather data Available at https://www.worldclim.org/data/monthlywth.html#

Epidemiological dimension

The epidemiological dimension has one subdimension: Ocurrence of diseases. This subdimension has 5 subdimensions. file:TRAJETORIAS_DATASET_Epidemiological_dimension_indicators.csv

1. Subdimension Vector-bore diseases

Indicator: Disease type - Malaria

Data source: SIVEP-malária (Epidemiological Surveillance Information System). Available in http://200.214.130.44/sivep_malaria/

Indicator: Disease type - Malaria Vivax + Falciparum

Data source: SIVEP-malária (Epidemiological Surveillance Information System). Available in http://200.214.130.44/sivep_malaria/

Indicator: Disease type - Malaria Falciparum

Data source: SIVEP-malária (Epidemiological Surveillance Information System). Available in http://200.214.130.44/sivep_malaria/

Indicator: Disease type - Dengue

Data source:

Indicator: Disease type - Chagas

Data source:

Indicator: Disease type - Visceral Leishmaniasis

Data source:

Indicator: Disease type - Cutaneous Leishmaniasis

Data source:

Socioeconomic dimensions

The socioeconomic dimension has the Multidimensional Poverty Index (MPI) subdimension. This subdimension has several indicators related to monetary and non-monetary deprivations that relate to the Multidimensional Poverty Measure (MPM),as developed by the World Bank. The maps below work only with “[…] the incidence component (H) that measures the proportion of households in that population living in a multidimensional poverty condition; and (ii) the intensity component (A) which is a measure of the average household deprivation score.”2

The MPM expands the understanding of poverty beyond just income by also considering access to education and basic infrastructure, alongside the monetary poverty line of $2.15 per day. Inspired by the UNDP and Oxford’s Multidimensional Poverty Index, the MPM recognizes that many more people are poor when these additional dimensions are included, as monetary poverty does not always align with other forms of deprivation 3.

“Each household in the census was initially identified as rural and urban and received a score for each indicator where 1 indicated a situation of deprivation, and 0 otherwise. Multidimension poverty means simultaneous deprivation in multiple dimensions.”

1. Subdimension Multidimensional Poverty

Indicator: Multidimensional Poverty Incidence

The proportion of households in that population living in a multidimensional poverty condition.

Source: DataSUS Tabnet (Notifyable Diseases Information System / SINAN - Brazil) https://datasus.saude.gov.br/informacoes-de-saude-tabnet/

Indicator: Multidimensional Poverty Intensity

Indicator: Multidimensional Poverty Index

Notes

  1. (Edited from original published at https://github.com/Trajetorias-Sinbiose/Trajetorias_dataset.)↩︎

  2. (Edited from original published at https://github.com/Trajetorias-Sinbiose/Trajetorias_dataset.)↩︎

  3. (See Multidimensional poverty as define by the World Bank. https://www.worldbank.org/en/topic/poverty/brief/multidimensional-poverty-measure)↩︎