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kauedesousa committed Jul 31, 2019
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16 changes: 13 additions & 3 deletions DESCRIPTION
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Package: ClimMobTools
Type: Package
Title: Tools for crowdsourcing citizen science in agriculture
Version: 0.2-1
Version: 0.2-2
Authors@R: c(person("Kaue", "de Sousa",
email = "[email protected]", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-7571-7845")),
Expand All @@ -13,12 +13,22 @@ Authors@R: c(person("Kaue", "de Sousa",
Maintainer: Kaue de Sousa <[email protected]>
URL: https://agrobioinfoservices.github.io/ClimMobTools/
BugReports: https://github.com/agrobioinfoservices/ClimMobTools/issues
Description: ClimMobTools provides the toolkit for the ClimMob platform in R.
Description: Toolkit for the 'ClimMob' platform in R. 'ClimMob' is an open source software for crowdsourcing citizen science in agriculture <https://climmob.net/climmob3/>. Developed by Bioversity International <https://www.bioversityinternational.org/>, it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions, it enables many farmers to carry out reasonably simple experiments that taken together can offer even more information. The concept behind the methodology applied by ClimMob is demonstrated by van Etten et al. (2019a) <doi:10.1017/S0014479716000739>, with its applications for crop management demonstrated by van Etten et al (2019b) <doi:10.1073/pnas.1813720116>.
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
Imports: httr, jsonlite, Matrix, methods, nasapower, raster, RSpectra, tibble, tidyr, utils
Imports:
httr,
jsonlite,
Matrix,
methods,
nasapower,
raster,
RSpectra,
tibble,
tidyr,
utils
Suggests:
PlackettLuce,
psychotree,
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18 changes: 17 additions & 1 deletion NEWS.md
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# ClimMobTools 0.2-0
# ClimMobTools 0.2-2

## New Features

* Tests coverage > 90%
* Validations in `temperature`, `rainfall`, `getDataCM`, and `ETo`

## CRAN issues

* Non canonical URLs in inst/doc/Environmental_indices.html
* Elaborate what the platform [ClimMob] is, and add web reference
* The Description field should not start with the package name
* Single cote all software names in the Description file



# ClimMobTools 0.2-1

## New Features

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2 changes: 1 addition & 1 deletion README.Rmd
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## Overview

The **ClimMobTools** package provides the toolkit employed in crowdsourcing citizen science projects under the *tricot* approach. Tricot, stands for "triadic comparison of technologies" for the rapid assessment of on-farm evaluation trails in small-scale agriculture.
The **ClimMobTools** package provides the toolkit for the [ClimMob](https://climmob.net/climmob3/) platform in `R`. ClimMob is an open source software for crowdsourcing citizen science in agriculture. Developed by [Bioversity International](https://www.bioversityinternational.org/), it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions, it enables many farmers to carry out reasonably simple experiments that taken together can offer even more information. The concept behind the methodology applied by ClimMob is demonstrated by van Etten et al. [(2019a)](https://doi.org/10.1017/S0014479716000739), with its applications for crop management demonstrated by van Etten et al [(2019b)](https://doi.org/10.1073/pnas.1813720116).

## Installation

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2 changes: 1 addition & 1 deletion README.md
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Overview
--------

The **ClimMobTools** package provides the toolkit employed in crowdsourcing citizen science projects under the *tricot* approach. Tricot, stands for "triadic comparison of technologies" for the rapid assessment of on-farm evaluation trails in small-scale agriculture.
The **ClimMobTools** package provides the toolkit for the [ClimMob](https://climmob.net/climmob3/) platform in `R`. ClimMob is an open source software for crowdsourcing citizen science in agriculture. Developed by [Bioversity International](https://www.bioversityinternational.org/), it turns the research paradigm on its head; instead of a few researchers designing complicated trials to compare several technologies in search of the best solutions, it enables many farmers to carry out reasonably simple experiments that taken together can offer even more information. The concept behind the methodology applied by ClimMob is demonstrated by van Etten et al. [(2019a)](https://doi.org/10.1017/S0014479716000739), with its applications for crop management demonstrated by van Etten et al [(2019b)](https://doi.org/10.1073/pnas.1813720116).

Installation
------------
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