sbastiangarzon Goto Github PK
Name: Sebastian
Type: User
Bio: Geoscientist
Sebastian's Projects
api
api-evaluation
Evaluation of the o2r reproducibility service API
bogotapresidenciales2018
Datos votaciones por localidad 1º vuelta elecciones presidenciales Colombia
bogotapresidenciales2018-ii
Datos votaciones en Bogotá por localidad 2º vuelta elecciones presidenciales Colombia
bogotasen2018
Repositorio datos de votación elecciones Senado 2018 en Bogotá D.C por localidades
bogotasenado2022
Resultados elecciones Senado 2022 en la ciudad de Bogotá
computationalmethods_hw
Homework answers (Computational Methods at Uniandes)
conteos
Estadística conteos
cortes_garzon_hw7
Tarea 7 Métodos computacionales-Uniandes.
envirocar-py
environmental_visualization_vr
fieldwork_dataanalysis
Here you can find the data analysis of multiple geophysical methods collected in the Uniandes fieldwork in mariquita (Tolima) and Armero-Guayabal area.
figshare-doi-badge
testing badge inclusion in readme
geodynamics
Este código sirve para determinar movimiento relativo de placas tectónicas.
geoextent
Python library for extrating geospatial extent of files and directories with multiple data formats
geofieldcamp
Raw data of the GeoFieldCamp Uniandes Project.
geophysicslab
Some files with basic geophysical simulations created in the Geophysics course at Uniandes.
gis_wur_slides_vr
Slides for GIS for Society (WUR-2022)
linares_garzon_hw8
Repositorio tarea 8
notebooktemplates
o2r-meta
Metadata toolsuite for an extract-map-validate workflow supporting reproducible research
o2r-project.github.io
Website of the research project "Opening Reproducible Research"
palsea_poster
petrology_project
In this project we are trying to create computational tools for the management of petrology data.
prdl_gp9
2023-2024 2 Pattern Recognition and Deep Learning (INFOMPRDL) Group 9
proposal_wur_garzon
PhD proposal - Wageningen University and Research
pythonbcu
Python Boot Camp Uniandes Class notes
remotesensing_gps
Remote sensing Uniandes 2016-1
se-asia-sealevel
Scripts used to analyse data and plot figures of Bender et al., 2019 (Climate of the Past Discussions) and Bender et al., 2020 (Climate of the Past)
sea_level_indicators_and_models
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