Project to investigate and develop spatial data-driven Geo-AI models (Convolutional Neural Network) to identify urban greenspace from Satellite images by integrating multiple data sources (e.g. vector data of urban parks)
As a graduate in Geographic Information Systems (GIS) from Damietta University, I am eager to apply my technical and analytical skills in a professional environment. I aim to contribute to organizational goals and further develop my expertise in GIS.
IL Duzeyinde COVID-19 olgu ve aşı sayısı
In this repository, I will share exercises and resources that have enriched my learning journey towards my dream job. I'll include coding scripts and exercises I've worked on and learned from, both in geospatial data science and other related fields.
The 3rd ACM SIGSPATIAL International Workshop on Searching and Mining Large Collections of Geospatial Data (GeoSearch)
Codes and data for a published work "A method to evaluate task-specific importance of spatio-temporal units based on explainable artificial intelligence" (https://doi.org/10.1080/13658816.2020.1805116)
Evaluation of the quality of LLM geo knowledge
This repo contains reports obtained from GeoAI development performed by The Directorate of Thematic Survey and Mapping of ATR/BPN
Template for performing GeoAI retail analysis using ArcGIS and Machine Learning.
A collection of papers related to Geo-spatial Information Science in NeurIPS 2024.
A project template for spatial data science projects marrying best practices from the respective disciplines of Geography and Artificial Intelligence.
A Python package for using Artificial Intelligence (AI) with geospatial data
Code and datasets for paper "K2: A Foundation Language Model for Geoscience Knowledge Understanding and Utilization" in WSDM-2024
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