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ZENODO
Software . 2022
Data sources: ZENODO
ZENODO
Software . 2022
Data sources: Datacite
ZENODO
Software . 2022
Data sources: Datacite
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Procesando datos espaciales con R

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 14 Jan 2022Publisher:Zenodo
Authors: Yanina Bellini Saibene;
Code repository: https://github.com/yabellini/curso_rgee/tree/v1.0

doi: 10.5281/zenodo.5849115 , 10.5281/zenodo.5849116

Procesando datos espaciales con R

Abstract

Este curso está pensado para personas que ya usan Google Earth Engine (GEE) y quieren empezar a usarlo desde R o bien que quieren iniciarse en el uso de GEE y el paquete rgee. Veremos conceptos básicos de datos espaciales, los paquetes disponibles en R para trabajar con este tipo de datos y nos enfocaremos en el paquete rgee para el uso de Google Earth Engine desde R. Los materiales presentan un video con el taller completo, incluyendo conceptos teóricos y práctica con código. El taller fue dictado como un seminario web para Desafíos AgTech 2020

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
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0
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3