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Resources","sub_category":"Soil and Land","monthly_downloads":503,"total_dependent_repos":3,"total_dependent_packages":1,"readme":"---\noutput: github_document\neditor_options: \n  markdown: \n    wrap: 72\n---\n\n```{r setup, echo = FALSE}\nknitr::opts_chunk$set(collapse = TRUE, comment = \"#\u003e\", \n                      fig.path = \"man/figures/\")\n```\n\n# Landscape meteorology tools \u003ca href=\"https://emf-creaf.github.io/meteoland/\"\u003e\u003cimg src=\"man/figures/logo.png\" align=\"right\" height=\"139\" alt=\"meteoland website\" /\u003e\u003c/a\u003e\n\n[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/meteoland)](https://cran.r-project.org/package=meteoland)\n[![](https://cranlogs.r-pkg.org/badges/meteoland)](https://cran.rstudio.com/web/packages/meteoland/index.html)\n[![R-CMD-check](https://github.com/emf-creaf/meteoland/workflows/R-CMD-check/badge.svg)](https://github.com/emf-creaf/meteoland/actions)\n\n\n## Important notice\n\nStarting on June 2023, `rgdal`, `rgeos` and `maptools` R packages entered a *maintenance* mode (meaning no new updates). Coincidentally, `sp` and `raster` packages are now superseded by the more modern alternatives `sf`, `stars` and `terra`. This means that the `meteoland` classes, which are based on `sp`, need to be updated to deal with these changes in the R-spatial ecosystem.\n\nStarting with version 2.0.0 of `meteoland` (February 2023) all functions, methods and classes based on or using the `sp`, `raster` and `rgdal` package were soft-deprecated. \n\n\u003e **Since ver. 2.1.0, these functions, methods and classes have\n\u003e been removed from the package**\n\nSee the [*Tidy meteoland*](https://emf-creaf.github.io/meteoland/articles/tidy-meteoland.html) vignette for more info about this changes.\n\n## Introduction\n\nWith the aim to assist research of climatic impacts on forests, the R\npackage `meteoland` provides utilities to estimate daily weather\nvariables at any position over complex terrains (De Cáceres et al 2018):\n\n-   Spatial interpolation of daily weather records from meteorological stations.\n-   Statistical correction of meteorological data series (e.g from climate models). Note that this functionality is deprecated starting in version 2.0.0. \n-   Multisite and multivariate stochastic weather generation. Note that this functionality is deprecated starting in version 2.0.0. \n\n## Package installation and documentation\n\nPackage **meteoland** can be found at [CRAN](https://cran.r-project.org/),\nbut the version in this repository may not be the most recent one.\nLatest stable versions can be downloaded and installed from GitHub as\nfollows (package `remotes` should be installed first):\n\n```{r installation, eval = FALSE}\nremotes::install_github(\"emf-creaf/meteoland\")\n```\n\nDetailed documentation regarding **meteoland** calculation routines can be found at (\u003chttps://emf-creaf.github.io/meteolandbook/index.html\u003e).\n\n## Companion packages\n\n### Package meteospain\n\nDuring the development of **meteoland** some functions to download weather\nstation data from several Spanish networks were originally developed.\nAfter **meteoland** version 1.0.1, the user is recommended to use package\n[**meteospain**](https://emf-creaf.github.io/meteospain/), which can\nalso be found at\n[CRAN](https://cran.rstudio.com/web/packages/meteospain/index.html).\nFunctions to download weather station data are still available in\n**meteoland** but they have been deprecated and make internal calls to\nfunctions in package\n[**meteospain**](https://emf-creaf.github.io/meteospain/).\n\n### Packages medfate and medfateland\n\nPackage **meteoland** has been designed to provide input weather data for simulations of forest function and dynamics via the following packages\n\n  + Package [**medfate**](https://emf-creaf.github.io/medfate) provides functions for simulating forest function and dynamics.\n  + Package [**medfateland**](https://emf-creaf.github.io/medfateland) extends **medfate** by allowing simulations to be performed in a spatially explicit context.\n\n## Authorship\n\nR package **meteoland** is developed and maintained by the [*Ecosystem\nModelling Facility*](https://emf.creaf.cat) at CREAF (Catalonia, Spain).\n\n## References\n\n-   De Caceres M, Martin-StPaul N, Turco M, Cabon A, Granda V (2018)\n    Estimating daily meteorological data and downscaling climate models\n    over landscapes. Environmental Modelling and Software 108: 186-196.\n    (\u003cdoi:10.1016/j.envsoft.2018.08.003\u003e).\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":["shiny"],"project_url":"https://ost.ecosyste.ms/api/v1/projects/128404","html_url":"https://ost.ecosyste.ms/projects/128404"}