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Abdelkrim Bouasria photo

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followers: 4.0 following: 36.0 repos: 32.0 gists: 0.0

Name: Abdelkrim Bouasria

Type: User

Company: Agmetrix

Bio: PhD, Soil, Crop, ML | πŸ—ΊοΈ, 🌎, πŸ›°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

cast icon cast

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

chg2cap icon chg2cap

Changes to Captions: An Attentive Network for Remote Sensing Change Captioning

deafrica-sandbox-notebooks icon deafrica-sandbox-notebooks

Repository for Digital Earth Africa Sandbox, including: Jupyter notebooks, scripts, tools and workflows for geospatial analysis with Open Data Cube and xarray

ekylibre icon ekylibre

Open source Farm management Information System (FMIS) - Connecting farms to the world

forestatrisk icon forestatrisk

:package: :snake: Python package to model and forecast the risk of deforestation

geemap icon geemap

A Python package for interactive mapping with Google Earth Engine, ipyleaflet, and ipywidgets.

gia_hs_2020 icon gia_hs_2020

Repository for course 'GIS in Archaeology' Fall (HS) 2020

ogh_summer_school_2020 icon ogh_summer_school_2020

Material for the session "Introduction to Deep Learning in R for the analysis of UAV-based remote sensing data"

opennightlights icon opennightlights

Collection of tools and training materials for exploring the open Nighttime Lights repository

rharmonics icon rharmonics

R package for harmonic modelling of time-series data

soil-pit icon soil-pit

Workspace for projects and active development.

soiltypemapping icon soiltypemapping

Predictive soil mapping aiming at making complete consistent soil type maps of the world

sp_sampling_ext icon sp_sampling_ext

Data and code for the paper: Predictive performance of machine learning model with varying sampling designs, sample sizes, and spatial extents

spatial-prediction-eml icon spatial-prediction-eml

Online tutorial on how to use Ensemble Machine Learning for spatial and spatiotemporal interpolation / predictions

spatial-sampling-ml icon spatial-sampling-ml

Rmarkdown tutorial on how to generate spatial sampling and how to use resampling methods for ML

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