Cronograma¶
Distribución de temas y lecturas por semana¶
A - INTRODUCCIÓN¶
Semana |
Temas |
Lecturas |
|---|---|---|
I (3-9 de enero) |
Introducción a la ciencia de datos geoespaciales |
|
Fundamentos de cartografía y geodesia |
[Ola20] (Parte 1, capítulo “Fundamentos cartográficos y geodésicos”) |
|
Sistemas de información geográfica |
[Ola20] (Parte 1, capítulo “¿Qué es un SIG?”) |
|
II (10-16 de enero) |
QGIS: sistema de información geográfica de escritorio |
[Gan20c] |
Modelos y estándares de datos geoespaciales |
[Ola20] (Parte 2, capítulo “Modelos para la información geográfica”), [LNM19] (Capítulo 2) |
|
Software para manejo de datos geoespaciales |
[PWV+16] |
|
III-i (17-23 de enero) |
GDAL: biblioteca para lectura y escritura de datos geoespaciales |
B - PROCESAMIENTO DE DATOS GEOESPACIALES CON PYTHON¶
Semana |
Temas |
Lecturas |
|---|---|---|
III-ii (17-23 de enero) |
El ecosistema geoespacial de Python |
|
IV (24-30 de enero) |
Fiona: paquete para lectura y escritura de datos vectoriales |
[Gila] |
Shapely: paquete para manipulación y análisis de datos geométricos |
[Gilb] |
|
V (31 de enero-6 de febrero) |
numpy: paquete para álgebra lineal |
[Oli] |
pandas: paquete para manipulación y análisis de datos |
[Tea] |
|
geopandas: paquete para manipulación y análisis de datos vectoriales |
||
VI (7-13 de febrero) |
rasterio: paquete para lectura y escritura de datos raster |
[Gilc] |
folium: paquete para desarrollo de mapas web |
[Sto] |
C - VISUALIZACIÓN Y ANÁLISIS AVANZADOS¶
Semana |
Temas |
Lecturas |
|---|---|---|
VII (14-20 de febrero) |
dash: paquete para desarrollo de aplicaciones web interactivas de análisis y visualización de datos |
|
streamlit: paquete para desarrollo de aplicaciones web de ciencia de datos y aprendizaje automatizado |
||
VIII (21-28 de febrero) |
Análisis espacial de grupos (spatial clustering) |
[RABW20] (Part III - Clustering and regionalization) |
Regresión espacial |
[RABW20] (Part III - Spatial Regression) |
Referencias bibliográficas y a otros recursos¶
- con
Geopandas contributors. Geopandas: Geographic pandas extensions. URL: http://geopandas.org (visited on 2022-01-01).
- Dab21
Elias Dabbas. Interactive Dashboards and Data Apps with Plotly and Dash. Packt Publishing, 2021. ISBN 978-1-80056-891-4. OCLC: 1256385141. URL: https://www.packtpub.com/product/interactive-dashboards-and-data-apps-with-plotly-and-dash/9781800568914 (visited on 2022-01-03).
- Dor21
Michael Dorman. Spatial Data Programming with Python. 2021. URL: https://geobgu.xyz/py/ (visited on 2022-01-01).
- Gan20a
Ujaval Gandhi. Mastering GDAL Tools. February 2020. URL: https://spatialthoughts.com/courses/mastering-gdal-tools/ (visited on 2022-01-01).
- Gan20b
Ujaval Gandhi. Python Foundation for Spatial Analysis. May 2020. URL: https://spatialthoughts.com/courses/python-foundation-for-spatial-analysis/ (visited on 2022-01-03).
- Gan20c
Ujaval Gandhi. Spatial Data Visualization and Analytics. February 2020. URL: https://spatialthoughts.com/courses/spatial-data-viz/ (visited on 2021-12-31).
- Gila
Sean Gillies. Fiona: Fiona reads and writes spatial data files. URL: http://github.com/Toblerity/Fiona (visited on 2022-01-01).
- Gilb
Sean Gillies. Shapely: Geometric objects, predicates, and operations. URL: https://github.com/Toblerity/Shapely (visited on 2022-01-01).
- Gilc
Sean Gillies. Rasterio: Fast and direct raster I/O for use with Numpy and SciPy. URL: https://github.com/mapbox/rasterio (visited on 2022-01-01).
- Hwa21
J. P. Hwang. Building a Big Data Geographical Dashboard with Open-Source Tools. September 2021. URL: https://medium.com/plotly/building-a-big-data-geographical-dashboard-with-open-source-tools-c5108d7d5683 (visited on 2022-01-01).
- Inc
Streamlit Inc. Streamlit: The fastest way to build data apps in Python. URL: https://streamlit.io (visited on 2022-01-01).
- Kag
Kaggle. Learn Geospatial Analysis Tutorials. URL: https://www.kaggle.com/learn/geospatial-analysis (visited on 2021-12-31).
- LNM19
Robin Lovelace, Jakub Nowosad, and Jannes Münchow. Geocomputation with R. CRC Press, Taylor and Francis Group, CRC Press is an imprint of theTaylor and Francis Group, an informa Buisness, A Chapman & Hall Book, Boca Raton, 2019. ISBN 978-1-138-30451-2. URL: https://geocompr.robinlovelace.net/.
- Ola20(1,2,3)
Víctor Olaya. Sistemas de Información Geográfica. 2020. URL: https://volaya.github.io/libro-sig/ (visited on 2021-12-31).
- Oli
Travis E. Oliphant. Numpy: NumPy is the fundamental package for array computing with Python. URL: https://www.numpy.org (visited on 2022-01-01).
- OSG
OSGeoLive. GDAL/OGR Quickstart. URL: https://live.osgeo.org/en/quickstart/gdal_quickstart.html (visited on 2021-12-31).
- Par
Chris Parmer. Dash: A Python framework for building reactive web-apps. Developed by Plotly. URL: https://plotly.com/dash (visited on 2022-01-01).
- PWV+16
Edzer Pebesma, Wolfang Wagner, Jan Verbesselt, Erwin Goor, Christian Briese, and Markus Neteler. OpenEO: a GDAL for Earth Observation Analytics. 2016. URL: https://r-spatial.org/2016/11/29/openeo.html (visited on 2021-12-31).
- RABW20(1,2,3)
Sergio J. Rey, Daniel Arribas-Bel, and Levi J. Wolf. Geographic Data Science with Python. 2020. URL: https://geographicdata.science/book/ (visited on 2021-12-31).
- Ric21
Tyler Richards. Getting started with Streamlit for data science: create and deploy Streamlit web applications from scratch in Python. Packt Publishing, 2021. ISBN 978-1-80056-320-9. OCLC: 1262331296. URL: https://www.packtpub.com/product/getting-started-with-streamlit-for-data-science/9781800565500 (visited on 2022-01-03).
- Sev
Charles Severance. PY4E - Python for Everybody. URL: https://www.py4e.com/ (visited on 2022-01-01).
- Sto
Rob Story. Folium : Make beautiful maps with Leaflet.js & Python. URL: https://github.com/python-visualization/folium (visited on 2022-01-01).
- Tea
The Pandas Development Team. Pandas: Powerful data structures for data analysis, time series, and statistics. URL: https://pandas.pydata.org (visited on 2022-01-01).
- THA21
Henrikki Tenkanen, Vuokko Heikinheimo, and Håvard Wallin Aagesen. Automating GIS-processes. 2021. URL: https://autogis-site.readthedocs.io/en/latest/ (visited on 2022-01-01).
- Wu
Qiusheng Wu. Geographic Software Design. URL: https://www.youtube.com/playlist?list=PLAxJ4-o7ZoPeUqGpMhvJoVk5G-TrvMAd- (visited on 2022-01-02).
- Wu21
Qiusheng Wu. A streamlit app for creating timelapse of annual Landsat imagery (1984–2021). October 2021. URL: https://giswqs.medium.com/a-streamlit-app-for-creating-timelapse-of-annual-landsat-imagery-1984-2021-3db407a8ac32 (visited on 2022-01-01).