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Materiais do meetup "Trabalhando com dados espaciais no R", 12/12/2023

Home Page: https://r-ladies-sao-paulo.github.io/2023-12-dados-espaciais/slides/

License: Creative Commons Zero v1.0 Universal

SCSS 0.47% HTML 35.51% CSS 8.50% JavaScript 51.26% R 4.25%

2023-12-dados-espaciais's Introduction

2023-12-dados-espaciais

Meetup: Trabalhando com dados espaciais no R

Data: 12/12/2023

Horário: 19h

Local: Online

Inscrições: https://www.meetup.com/pt-BR/rladies-sao-paulo/

Gravação: https://www.youtube.com/watch?v=B5VoI9d9Dm8

Palestrantes

Pacotes necessários

pacotes_necessarios <- c("httr",  "readxl", "janitor", "dplyr", "parzer", "glue",
"sf", "ggplot2", "leaflet", "geobr", "terra", "mapview", "curl")

install.packages("pacotes_necessarios")

Caso tenha dificuldade, nos avise na página do meetup!

Preparação para a prática

  • Instale os pacotes necessários (veja acima)

  • Faça download do arquivo .zip com os arquivos do curso: https://github.com/R-Ladies-Sao-Paulo/2023-12-dados-espaciais/archive/refs/heads/main.zip

  • Descompacte o arquivo .zip em uma pasta de sua preferência

  • Abra o arquivo do projeto 2023-12-dados-espaciais.Rproj no RStudio

  • Copie e cole o seguinte código no console. O objetivo é fazer download do arquivo brasil_coverage_2022.tif para a pasta dados do projeto. Esse arquivo é grande, então pode demorar um pouco para baixar.

if (!file.exists("dados/brasil_coverage_2022.tif")) {
  curl::multi_download(
    "https://storage.googleapis.com/mapbiomas-public/initiatives/brasil/collection_8/lclu/coverage/brasil_coverage_2022.tif",
    "dados/brasil_coverage_2022.tif",
    resume = TRUE
  )
}

Materiais

Links citados no chat

2023-12-dados-espaciais's People

Contributors

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Stargazers

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Watchers

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Forkers

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