climenv
climenv: download, extract and visualise climatic and elevation data
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
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Found .zenodo.json file -
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○Academic publication links
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (14.5%) to scientific vocabulary
Last synced: 10 months ago
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Repository
climenv: download, extract and visualise climatic and elevation data
Basic Info
- Host: GitHub
- Owner: jamestsakalos
- Language: R
- Default Branch: master
- Homepage: https://jamestsakalos.github.io/climenv/
- Size: 6.14 MB
Statistics
- Stars: 4
- Watchers: 2
- Forks: 2
- Open Issues: 1
- Releases: 0
Created about 3 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
Codemeta
README.Rmd
---
output: github_document
---
[](https://github.com/jamestsakalos/climenv/actions/workflows/codemeta.yml)
[](https://github.com/jamestsakalos/climenv/actions/workflows/lint.yaml)
[](https://github.com/jamestsakalos/climenv/actions/workflows/pkgdown.yml)
[](https://github.com/jamestsakalos/climenv/actions/workflows/R-CMD-check.yml)
[](https://github.com/jamestsakalos/climenv/actions/workflows/test-coverage.yaml)
[](https://app.codecov.io/gh/jamestsakalos/climenv?branch=master)
```{r, include = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-",
out.width = "100%"
)
```
# climenv
R functions for downloading, extracting, and plotting climatological data as a
function of user supplied multi and single geospatial polygon and point data.
## Description
If you are a scientist seeking a convenient solution for downloading, extracting
, and plotting climatological data, consider exploring the features of this
package. It grants you access to three widely recognised modelled data sets,
namely WorldClim 2, CHELSA, and NASA’s SRTM. It seamlessly handles both multi
and single geospatial polygon and point data, allowing you to extract outputs
that can serve as covariates in various ecological studies. It also allows you
to visualise these extractions using two common graphic options – the
Walter-Lieth climate diagram and the Holdridge life zone classification scheme.
The last option is a scheme of our own design which incorporates aspects of both
Walter-Leigh and Holdridge. The package's user-friendly access and extraction of
globally recognisable data sets significantly enhance its versatility and
usability across a broad spectrum of applications.
For any questions, comments or bug reports please submit an issue here on GitHub.
Suggestions, ideas and references of new algorithms are always welcome.
## News
* June-2023: Version 1.0.0
## Main functionalities
* Downloads climate data from two main sources;
* CHELSA, short for "Climatologies at High resolution for the Earth's Land
Surface Areas," encompasses a high-resolution gridded dataset containing
extensive climate data, including temperature and precipitation for the period
1981–2010
* WorldClim 2, short for "World Climate", is a comprehensive global dataset
offers fine-scale gridded climate data including temperature and precipitation
for the period 1970–2000
* Downloads elevation data from two main sources;
* SRTM, which stands for 'Shuttle Radar Topography Mission,' refers
specifically to the hole-filled CGIAR-SRTM dataset, providing 90-meter
resolution elevation data for the Earth's surface within latitudes ranging
from -60 to 60 degrees
* Mapzen's synthesis digital elevation product which combines several sources
of digital elevation models, including SRTM, the ArcticDEM (covering all
areas north of 60°), EUDEM (digital elevation model over Europe)
* Extracts the data;
* as raw data for points
* as zonal statistics for a group of points or over a spatial extent (polygon)
## Installation from the source
You can install the development version from [GitHub](https://github.com/jamestsakalos/climenv) with:
``` r
# install.packages("devtools")
devtools::install_github("jamestsakalos/climenv", build_vignettes = TRUE)
```
## Example
This is a basic example which shows you how to use the main `climenv` function:
```{r fig1, fig.width = 16, fig.height = 8, fig.align = "center"}
library(climenv)
# Step 1. Import the Sibillini National Park Boundary
# Step 2. Run the download function
# Step 3. Run the extract function
#* See ce_download & ce_extract documentation
# Steps 1, 2 & 3 can be skipped by loading the extracted data
data("it_data")
# Step 4. Visualise the climatic envelope using a Holdridge diagram
p1 <- plot_h(data = it_data, "MED")
```
The package vignette provides detailed explanation and demonstration on
the application of climenv.
Owner
- Name: James Tsakalos
- Login: jamestsakalos
- Kind: user
- Location: Italy
- Website: https://www.researchgate.net/profile/James_Tsakalos
- Repositories: 1
- Profile: https://github.com/jamestsakalos
I am a researcher in the Scuola di Bioscienze e Medicina Veterinaria at the University of Camerino.
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Total
- Issues event: 1
- Watch event: 1
- Issue comment event: 1
- Push event: 4
Last Year
- Issues event: 1
- Watch event: 1
- Issue comment event: 1
- Push event: 4
Packages
- Total packages: 1
-
Total downloads:
- cran 223 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 1
- Total maintainers: 1
cran.r-project.org: climenv
Download, Extract and Visualise Climate and Elevation Data
- Homepage: https://github.com/jamestsakalos/climenv
- Documentation: http://cran.r-project.org/web/packages/climenv/climenv.pdf
- License: GPL-3
- Status: removed
-
Latest release: 1.0.0
published over 2 years ago
Rankings
Dependent packages count: 28.9%
Dependent repos count: 36.9%
Average: 50.9%
Downloads: 86.8%
Maintainers (1)
Last synced:
about 1 year ago
Dependencies
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DESCRIPTION
cran
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