Publications by Ivan Lizarazo
Water ocurrence change intensity
The JRC Water Ocurrence dataset contains maps of the location and temporal distribution of surface water from 1984 to 2020 and provides statistics on the extent and change of those water surfaces. For more information see the associated journal article: Jean-Francois Pekel, Andrew Cottam, Noel Gorelick, Alan S. Belward, High-resolution mapping of...
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Spatial Interpolation revisited
1. Why this notebook? This is an update for a previous R Notebook written to illustrate how to conduct spatial interpolation in R which may be found here. This update aims to help Geomatica Basica students at Universidad Nacional to fix a problem originated from the shift from PROJ4 to PROJ6 in the recent versions of the spatial packages of R (an...
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Looking again at spatial interpolation
1. Introduction This notebook illustrates spatial interpolation using data obtained in a field campaign over a potato crop farm. A lot of code is borrowed from Introduction to Spatial Data Programming with R by Michael Dorman (2021). Its main purpose is to guide data processing tasks for the HERMES project: Agro-Geoinformática: Detección tempra...
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Exploring random forest based regression of soil moisture
1. Introduction This notebook illustrates regression of soil moisture from multispectral & thermal imagery obtained in a field campaign over a potato crop farm. Its main purpose is to guide data processing tasks for the HERMES project: Agro-Geoinformática: Detección temprana in situ de enfermedades a nivel foliar empleando imágenes espectrales...
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Crop production dynamics
1.Introduction This is the third R Markdown Notebook for the Geomatica Basica 2022 course. It illustrates how to obtain multi-year stats for a given group of crops in any department. We will use as main data source the Evaluaciones Agropecuarias Municipales (EVA), a 2007-2018 agricultural data set provided by the Ministerio de Agricultura y Desar...
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How to make thematic maps - V2
1.Introduction This is the second R Markdown Notebook for the Geomatica Basica 2022 course. It illustrates how to make thematic maps showing the municipal share of the two most important groups of crops for a given department. We will use as main source the csv files saved in the EVA notebook, as well as a shapefile of municipalities obtained in ...
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GB2022 - Notebook1
1.Introduction This is the first R Markdown Notebook for the Geomatica Basica 2022 course. It aims to know what are the agricultural crops with largest production in a given department. We will use as main source an excel file containing the Evaluaciones Agropecuarias Municipales (EVA) produced by UPRA for 2020. For writing the notebook follow th...
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GB2022 - Notebook2
1.Introduction This is the second R Markdown Notebook for the Geomatica Basica 2022 course. It illustrates how to make thematic maps showing the municipal share of the two most important groups of crops for a given department. We will use as main source the csv files saved in the EVA notebook,as well as a shapefile of municipalities obtained in c...
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