datazoom.amazonia

Facilitates access to official Brazilian Amazon data, including agriculture, deforestation, production.
https://github.com/datazoompuc/datazoom.amazonia

Category: Biosphere
Sub Category: Deforestation and Reforestation

Keywords

amazonia datazoom municipality

Last synced: about 18 hours ago
JSON representation

Repository metadata

Simplify access to data from the Brazilian Amazon

Host: GitHub
URL: https://github.com/datazoompuc/datazoom.amazonia
Owner: datazoompuc
License: other
Created: 2020-10-10T16:09:33.000Z (over 4 years ago)
Default Branch: master
Last Pushed: 2025-04-10T01:56:46.000Z (18 days ago)
Last Synced: 2025-04-10T06:40:59.123Z (18 days ago)
Topics: amazonia, datazoom, municipality
Language: R
Homepage:
Size: 293 MB
Stars: 57
Watchers: 1
Forks: 8
Open Issues: 5
Releases: 1
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- License: LICENSE

README.Rmd

          ---
output: github_document
---





```{r, include = FALSE}
knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "100%"
)
```

# datazoom.amazonia


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The datazoom.amazonia package facilitates access to official Brazilian Amazon data, including agriculture, deforestation, production. The package provides functions that download and pre-process selected datasets.

## Installation

You can install the released version of `datazoom.amazonia` from
[CRAN](https://CRAN.R-project.org/package=datazoom.amazonia) with:

``` {r, eval=FALSE}
install.packages("datazoom.amazonia")
```

And the development version from GitHub with:

``` {r, eval=FALSE}
# install.packages("devtools")
devtools::install_github("datazoompuc/datazoom.amazonia")
```

```{r, echo=FALSE, message=FALSE}
devtools::load_all()
```


**[1 - Environmental data](#environmental-data)** 





|||
|---|---|
| **[PRODES](#prodes)** | _Yearly deforestation_ |
| **[DETER](#deter)** | _Alerts on forest cover changes_ |
| **[DEGRAD](#degrad)** | _Forest degradation_ |
| **[Imazon](#imazon)** | _Deforestation pressure in the Amazon_ |



|||
|---|---|
| **[IBAMA](#ibama)** | _Environmental fines_ |
| **[MapBiomas](#mapbiomas)** | _Land cover and land use_ |
| **[TerraClimate](#terraclimate)** | _Climate data_ |
| **[SEEG](#seeg)** | _Greenhouse gas emission estimates_ |
| **[CENSOAGRO](#censoagro)** | _Agriculture activities_ |

 

**[2 - Social data](#social-data)**





|||
|---|---|
| **[IPS](#ips)** | _Amazon Social Progress Index_ |
| **[DATASUS](#datasus)** | _Causes of mortality and availability of hospital beds_ |
| **[IEMA](#iema)** | _Access to electricity in the Amazon region_ |
| **[Population](#population)** | _Population_ |

 

**[3 - Economic data](#economic-data)**





|||
|---|---|
| **[COMEX](#comex)** | _Brazilian international trade_ |
| **[BACI](#baci)** | _Global international trade_ |
| **[PIB-Munic](#pib-munic)** | _Municipal GDP_ |
| **[CEMPRE](#cempre)** | _Central register of companies_ |
| **[PAM](#pam)** | _Agricultural production_ |



|||
|---|---|
| **[PEVS](#pevs)** | _Forestry and extraction_ |
| **[PPM](#ppm)** | _Livestock farming_ |
| **[SIGMINE](#sigmine)** | _Mining_ |
| **[ANEEL](#aneel)** | _Energy development_ |
| **[EPE](#epe)** | _Energy consumption_ |

 

**[4 - Other tools](#other-tools)**





|||
|---|---|
| **[Legal Amazon Municipalities](#legal-amazon-municipalities)** | _Dataset with brazilian cities and whether they belong to the Legal Amazon_ |
| **[The 'googledrive' package](#googledrive)** | _Troubleshooting and information for downloads from Google Drive_ |



# Environmental Data

## PRODES

```{r child = "vignettes/PRODES.Rmd"}
```

## DETER

```{r child = "vignettes/DETER.Rmd"}
```

## DEGRAD

```{r child = "vignettes/DEGRAD.Rmd"}
```

## Imazon

```{r child = "vignettes/IMAZON.Rmd"}
```

🔴 This function uses the `googledrive` package to download data. In case of authentication errors, see [googledrive](#googledrive).

## IBAMA

```{r child = "vignettes/IBAMA.Rmd"}
```

## MapBiomas

```{r child = "vignettes/MAPBIOMAS.Rmd"}
```

## TerraClimate

```{r child = "vignettes/TERRACLIMATE.Rmd"}
```

## SEEG

```{r child = "vignettes/SEEG.Rmd"}
```

🔴 This function uses the `googledrive` package to download data at the municipality level. In case of authentication errors, see [googledrive](#googledrive).

## CENSOAGRO

```{r child = "vignettes/CENSOAGRO.Rmd"}
```

# Social Data

## IPS

```{r child = "vignettes/IPS.Rmd"}
```

## DATASUS

```{r child = "vignettes/DATASUS.Rmd"}
```

## IEMA

```{r child = "vignettes/IEMA.Rmd"}
```

🔴 This function uses the `googledrive` package to download data. In case of authentication errors, see [googledrive](#googledrive).

## Population

```{r child = "vignettes/POPULATION.Rmd"}
```


# Economic Data

## COMEX

```{r child = "vignettes/COMEX.Rmd"}
```

## BACI

```{r child = "vignettes/BACI.Rmd"}
```

## PIB-Munic

```{r child = "vignettes/PIBMUNIC.Rmd"}
```

## CEMPRE

```{r child = "vignettes/CEMPRE.Rmd"}
```

## PAM

```{r child = "vignettes/PAM.Rmd"}
```

## PEVS

```{r child = "vignettes/PEVS.Rmd"}
```

## PPM

```{r child = "vignettes/PPM.Rmd"}
```

## SIGMINE

```{r child = "vignettes/SIGMINE.Rmd"}
```

## ANEEL

```{r child = "vignettes/ANEEL.Rmd"}
```

## EPE

```{r child = "vignettes/EPE.Rmd"}
```

# Other tools

## Legal Amazon Municipalities

```{r child = "vignettes/municipalities.Rmd"}
```

##  The 'googledrive' package

```{r child = "vignettes/GOOGLEDRIVE.Rmd"}
```

## Credits

DataZoom is developed by a team at Pontifícia Universidade Católica do Rio de Janeiro (PUC-Rio), Department of Economics. Our official website is at: .

To cite package `datazoom.amazonia` in publications use:

> Data Zoom (2023). Data Zoom: Simplifying Access To Brazilian Microdata.  
> https://www.econ.puc-rio.br/datazoom/english/index.html

A BibTeX entry for LaTeX users is:

``` 
@Unpublished{DataZoom2023,
	author = {Data Zoom},
	title = {Data Zoom: Simplifying Access To Brazilian Microdata},
	url = {https://www.econ.puc-rio.br/datazoom/english/index.html},
	year = {2023},
}

```

Owner metadata

Name: Data Zoom
Login: datazoompuc
Email: [email protected]
Kind: organization
Description: Project developed by the Economics Department of PUC-Rio. It aims to promote access, processing, and analysis of Brazilian microdata.
Website: http://www.econ.puc-rio.br/datazoom/english/index.html
Location: PUC-Rio
Twitter: data_zoom
Company:
Icon url: https://avatars.githubusercontent.com/u/57681933?v=4
Repositories: 3
Last ynced at: 2023-03-04T15:14:56.051Z
Profile URL: https://github.com/datazoompuc

GitHub Events

Total

Issues event: 16
Watch event: 5
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Issue comment event: 12
Push event: 85
Pull request review event: 5
Pull request event: 13
Fork event: 1
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Last Year

Issues event: 16
Watch event: 5
Delete event: 4
Issue comment event: 12
Push event: 85
Pull request review event: 5
Pull request event: 13
Fork event: 1
Create event: 7

Name	Email	Commits
Igor Rigolon	i**e@h**m	178
FredieDidier	f**r@t**r	126
gnjardim	4****m	114
BrunoAlcantaraD	6****D	102
arthurcbps	a**s@g**m	76
Victor Aliende da Matta	v**4@g**m	73
Daniel AC Barbosa	d**b@g**m	49
annasaraiva	a****a	49
Francisco	f**i@g**m	43
titogbruni	t**i@g**m	19
Luiz Guilherme Lopes Moussatche	l**m@g**m	17
brenoavidos	b**s@g**m	15
Michelle Souza	M**0@g**m	8
Maria Clara Mano	m**o@g**m	8
Fernanda Watkins	f**w@g**m	7
Victor Hugo Schieck Terziani	1****i	5
Isaac Newton	i**n@c**g	4
giuliaimbu	1****u	4
carolinamoura2000	1****0	3
Shai	1****i	2
Matthieu	M**r@g**m	2
Antonio Bergallo	1****o	1
Felipe de Moraes	f**n@g**m	1
João Paulo Barbosa	j**9@g**m	1
pablotadeu	p**o@g**m	1
FranciscoCavalcanti	f**i@g**m	1
Vanndher Amós	v**9@g**m	1

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Last synced: 2 days ago

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Past year issues: 9
Past year pull requests: 10
Past year average time to close issues: 3 months
Past year average time to close pull requests: about 1 month
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Past year average comments per pull request: 0.6
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Dependencies

DESCRIPTION cran

R >= 4.0 depends
Hmisc * imports
RCurl * imports
XML * imports
data.table * imports
dplyr * imports
janitor * imports
lubridate * imports
magrittr * imports
purrr * imports
readr * imports
readxl * imports
sf * imports
sidrar * imports
stringi * imports
stringr * imports
tibble * imports
tidyr * imports
utils * imports
foreign * suggests
googledrive * suggests
knitr * suggests
rmarkdown * suggests
terra * suggests

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actions/checkout v2 composite
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