Name: Abdelkrim Bouasria
Type: User
Company: Agmetrix
Bio: PhD, Soil, Crop, ML | πΊοΈ, π, π°οΈ | #Qgis, #rstats, #python |
{ Never give up! Be positive & trustful! Go and end in mind! Believe in abundance! }
Twitter: abdelkrim_bsr
Location: El Jadida, Morocco
Abdelkrim Bouasria's Projects
My personal Web Page.
Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning
Dask tutorial
Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray
Digital Soil Mapping Focus Teams
Python and JavaScript bindings for calling the Earth Engine API.
Open source Farm management Information System (FMIS) - Connecting farms to the world
:package: :snake: Python package to model and forecast the risk of deforestation
A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.
Repository for course 'GIS in Archaeology' Fall (HS) 2020
Global Soil Information Facilities (tutorials)
HPC Carpentry: hpc-intro setup for ARCHER2
RUSLE model
Documentation, presentations, and tutorials for aqp and soilDB
Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"
course materials for OpenGeoHub2020
Collection of tools and training materials for exploring the open Nighttime Lights repository
Implementation of the pseudo-label algorithm with keras
R package for harmonic modelling of time-series data
Workspace for projects and active development.
Predictive soil mapping aiming at making complete consistent soil type maps of the world
Data and code for the paper: Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents
Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions
Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML
SpatialEpiApp
Code and data for the paper Wadoux et al. 2021, Ecological Modelling
S4SS: Statistics for Soil Survey