Publications by Ivan Lizarazo
Charting forest gain and loss
1. Introduction This is an R Markdown notebook which illustrates how to make charts representing Forest gain and loss data obtained from Google Earth Engine (GEE) using the Hansen Global Forest Change v.1.10 (2000-2022) dataset. 2. Setup First of all, it is convenient to clean the R environment: rm(list=ls()) Then, we need to install several libra...
1354 sym R (5503 sym/22 pcs) 1 img
Making SDG thematic maps
1. Introduction This is an R Markdown notebook which illustrates how to make thematic maps representing Sustainable Development Goals (SDG) Indicators. Our interest here relates to the SDG 6 “Ensure access to water and sanitation for all”. In particular, we want to map the Indicator 6.2.1 which is the “proportion of population using (a) safel...
3073 sym R (12544 sym/33 pcs) 2 img
Geometric functions for simple features
This notebook illustrates several geometric functions provided by the simple features for R package. More information about this package is available here. 1. Setup library(tmap) library(tmaptools) library(sf) library(readr) library(ggplot2) 2. Data Let’s start reading the toy dataset created using geojson.io functions: list.files() ## [1] "00...
1542 sym R (7284 sym/49 pcs) 10 img
Again EVA
Introduction This is a very simple notebook which illustrates how to subset EVA 2019-2022 agricultural statistics data provided by UPRA at https://upra.gov.co/es-co/Evas_Documentos/BaseEVA_Agr%C3%ADcola20192022.xlsx. It aims to help Geomatica Basica students at UNAL to gain digital skills in R. Prerequisites It is assumed that you have already dow...
1939 sym R (3071 sym/22 pcs)
First steps with the dplyr library
1. Introduction This is an R Markdown Notebook which illustrates main functionalities of the dplyr library. dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges: mutate() adds new variables that are functions of existing variables select() picks variables base...
2939 sym R (3184 sym/24 pcs) 1 img
Spatial interpolation of soil organic carbon
1. Introduction This notebook illustrates two spatial interpolation techniques: Inverse Distance Weighted (IDW) and Ordinary Kriging (OK). IDW is a deterministic technique. OK is a probabilistic one. Both techniques are used here to get a continous surface of SOC at 15-30 cm from samples obtained from SoilGrids 250 m. 2. Setup First, clean the mem...
6490 sym R (9504 sym/62 pcs) 3 img
How to get raster soil data from ISRIC
1. Introduction SoilGrids is a system for global digital soil mapping that makes use of global soil profile information and covariate data to model the spatial distribution of soil properties across the globe. SoilGrids is a collections of soil property maps for the world produced using machine learning at 250 m resolution. SoilGrids can be accesse...
2813 sym R (6580 sym/38 pcs) 3 img
Elevation data processing and analysis in R
1. Why this notebook? This notebook illustrates several functionalities to obtain, process and visualize digital elevation models (DEMs) in R. It aims to help Geomatica Basica students at Universidad Nacional to get acquainted with DEMs and geomorphometric variables. A few tips for writing your own notebook: Write and run every chunk step-by-step ...
8647 sym R (14952 sym/64 pcs) 2 img
Spatial Interpolation
1. Introduction This notebook illustrates how to conduct spatial interpolation in R using precipitation data as example. This notebook is written to help Geomatica Basica students at Universidad Nacional de Colombia to become familiar with geospatial functionalities provided by the R software environment. Please note that this notebook explores g...
7208 sym R (28898 sym/143 pcs) 17 img
Land Cover Change Metrics [2]
1. Introduction This notebook illustrates land cover change in Montes de Maria from 2000 to 2018. Land cover categories are represented by two raster datasets extracted from the global land cover (LC) products released by the European Space Agency (ESA) within the climate change initiative (CCI). ESA LandCover CCI supplies global maps of land cov...
1715 sym R (9806 sym/44 pcs) 5 img