ials/gb2023

UNAL - FCA - Geomatica Basica 2023-1S

Welcome to the GB2023 course - Grupo 2 - Código SIA 2015896

This is the main communication site for the course. Here you will find the lectures, readings, and assignments. This is a place to visit regularly.

Objectives

• To learn basic concepts and theory about major geoinformation disciplines
• To develop practical skills for understanding and processing geospatial data
• To offer opportunities to enhance spatial thinking and argumentative abilities

Programación detallada

Schedule

Week 1 – Geospatial data and information – 8 - 9 February

• Theory:

  • Geospatial data
  • From data to information
  • Data models

• GIS Practical:

  • Download spatial data for your study area
  • Check metadata

• Reading 1:

  • What is geomatics?

Week 2 – Coordinate systems and cartographic projections - 15 - 16 February

• Theory:

  • Geodesy, Coordinate Systems and Map Projections

• GIS Practical:

  • Understand projections and EPSG codes
  • Change projection of geospatial data
  • Datasets:
    • Roads, water, population
    • Colombian cities

• Reading 2:

  • Referencias y proyección empleadas en la cartografia colombiana

• REFERENCIA

  • QGIS tutorials and tips

Week 3 - Cartography – 22 -23 February -

• Theory:

  • W3 - Cartography
  • W3 - Thematic maps

• GIS Practical:

  • How to make a map of municipalities

• Home activity:

  • Students make two maps:
    • Mapa de zona de estudio (incluye municipios, ciudades, vías, hidrografía) - Ejemplo
    • Mapa de relieve departamental (incluye DEM, ciudades, vías, hidrografía) - Ejemplo
  • Please bring the two color map prints to the classroom on 2nd March 2023

• DO YOU NEED HELP? REVIEW THIS REFERENCE:

  • QGIS tutorials and tips

Week 4 - Geographic databases - 1-2 March

• Theory:

  • ¿What is a spatial database?
  • ¿What are common database formats?
  • ¿What is SQL?
  • ¿What are the main query functions?
  • ¿How to join geographic data both spatially and not spatially?

• GIS Practical:

  • Start getting to know R
  • First steps with the tidyverse
    • Install the tidyverse
    • Start doing data wrangling with dplyr
    • You have to write the code within the cheatsheet
      • Be aware that iris and mtcars are pre-loaded "tables"

• Home activity:

  • Make corrections to your two maps according to suggestions made in the classroom
  • Print the two maps in color and bring them to class on 9th March in a closed envelope (This is the due date)

• Reference:

  • You may strengthen your R skills:
    • Introducción a R

Week 5 – Data exploration, query and wrangling

• Theory:

  • How to read csv data in R?
  • How to create pipelines to select, filter, mutate, group, summarize, and arrange?

• R Practical:

  • Download data:

    • Evaluaciones Agropecuarias Municipales EVA
      • Go to Export and download the data in CSV format

  • Explore data:

    • Read the EVA dataset in R
    • Start writing your first R notebook

  • Home activity:

  • Complete your first R notebook (Plazo para publicación en RPubs: 16 de marzo)

    • Reference
    • Data wrangling cheatsheet

Week 6 – Joining spatial and non-spatial data

• Theory:

  • How to read geospatial data in R?
  • How to join non-spatial and geospatial data in R?
  • How to visualize geospatial data in R?

• Explore data:

  • Download MGN2018 and read it in R
    • MGN2018 Integrado con CNPV2018, nivel de Municipio
  • Clip the MGN2018 layer to match your study area
  • Visualize the municipalities with different colors based on population
  • Start writing your second R notebook

• Home activity:

  • Complete your second R notebook (Plazo para publicación en RPubs: 23 de marzo)
    • Second notebook reference
    • R Markdown cheatsheet

Week 7 – Refresher week

• Make sure you complete the first and second notebook and update their publishing (a más tardar el 26 de marzo):
  • ¿Have you explained what is the objetive of your notebook?
  • ¿Does every code chunk has been explained in your notebook?
  • ¿Have you interpreted or analyzed your results?
  • ¿Do you have any conclusions?

Week 8 - Another refresher week

• Have you already created and published the first two R notebooks?
  • If yes, create a third notebook with crop production dynamics for your department
  • If not, take advantage of this free time and complete them.

Week 9 - Welcome back to the course

• Topics:

  • A refresher on queries, joins and maps with R
  • What are optimal condictions to grow the most important crop in your department?
  • Land evaluation definition

• Practical activities:

  • Find out the agricultural suitability for the most important crop in your department
    • SIPRA
  • Download raster data corresponding to CEC, pH, SOC, and soil classes for your departament
    • SoilGrids
  • Visualize the soil raster data in QGIS

Week 10 - Global soil data

• Topics:

  • How SoilGrids are obtained?

• Practical activities:

  • [How to automate SoilGrids downloading?]
    • Option 1
    • Option 2

• Independent work:

  • Make sure you have merged your raster soil data before 15th May 2023.

Week 11 – Global Navegation Satellite Systems (GNSS)

• Lecture:

  • Basics of GNSS
  • GPX files
  • GNSS receivers

• Reading:

  • What is trilateration?

• Practical:

  • Learn to use the GARMIN GPSMap 64sc
  • Survey selected polygons, lines and points at UNAL campus

• Optional reading:

  • How to plot GPX tracks with R

Week 12 – Spatial accuracy of handheld GNSS receivers

• Lecture:

  • How to measure spatial accuracy of waypoints, tracks and polygons?

• Reading:

  • NSSDA spatial data accuracy
    • Study Appendix 3-A

• Practical:

  • Complete the UNAL campus survey (5 polygons, 5 lines and 20 points)

Notas Informe No. 1 (08.05.2023)

Week 13 - Digital elevation models

• Lecture:

  • What is a DEM
  • DSM vs DTM
  • Geomorphometric variables

• Practical:

  • Download DEM data for your department
  • Compute slope and aspect

• Start replicating the DEM notebook in your study area (deadline: 31-05-2023)

Notas Examen No. 1 (11.05.2023)

Week 14 - Spatial interpolation

• Lecture

  • What is interpolation?
  • Importance of interpolation
  • Methods for interpolation
    • IDW
    • Kriging

• Virtual session on 25.05.2023

• Example of interpolation

  • Soil moisture

• Independent work

  • Complete the DEM notebook (deadline: 31-05-2023)

Week 15 - Spatial interpolation in practice

• Lecture:

  • SOC interpolation

• Practical:

  • SOC interpolation for your study area

• Independent work:

  • Complete the SOC interpolation notebook (deadline: 21-06-2023)

Week 16 - Open geospatial data

• Lecture:

  • Geospatial web services
  • Datos abiertos de Colombia
  • See the 07.06.2023 recording here

• QGIS Practical:

  • Connect to the ortoimagen de Bogotá 2020
  • Create and populate vector layers by digitizing over the ortoimage
  • Read GPX data acquired in the campus

• Independent work:

  • Complete the SOC interpolation notebook (deadline: 21-06-2023)

Week 17 - Questions

• Lecture:

  • Refresher of week 16 contents

• Independent work:

  • Prepare Examen No. 2
    • Examen presencial - Fecha: 21.06.2023 - 9:00 am
  • Complete Informe No. 2
    • Reporte de interpolación - Fecha límite: 22.06.2023 - 11:59 pm

• Notas Parciales - 15.06.2023

Week 18 - Final examinations

• Examen 2 - 21.06.2023 at 9:00 a.m.

  • Notas Examen 2

• Cuaderno Interpolación - 22.06.2023 at 11:59 p.m.

• Informe No.2 - DEM & Interpolation

  • Notas Informe 2

Notas consolidadas - 27.06.2023

• Notas