y
young_paul_04

Paul K

@young_paul_04
Tanzanie
Certaines informations sont présentées en anglais.
À propos de moi
I help researchers, planners, and organizations solve real-world spatial problems through advanced geospatial analysis, including land use and land cover mapping, suitability analysis, and environmental monitoring. Using tools such as ArcGIS, QGIS, Google Earth Engine, and Python, I deliver accurate, high-quality maps and spatial models that support planning, research, and development projects. My focus is not just on creating maps, but on providing meaningful geospatial insights that help you understand patterns, solve problems, and make confident decisions. ... Plus d’infos

Compétences

y
young_paul_04
Paul K
hors ligne • 
Temps de réponse moyen de 1 heure

Voir mes services

Consulting en analyse de données
I will create professional custom maps for your data and projects
De15 $US / projetPlus de détails
Système d'information géographique (SIG)
I will do your qgis or arcgis project and spatial analysis tasks
De10 $US / projetPlus de détails

Portfolio

Expérience professionnelle

GEODIS

WITEK

GEODIS

Feb 2026 - Present • 3 mos

This project was completed as part of a geospatial analytics challenge focused on addressing a societal spatial problem through GIS and remote sensing techniques. The main goal was to analyze spatial patterns and transform raw geospatial data into meaningful insights that could support decision-making and planning. The client’s objective was to better understand the distribution and impact of a selected societal issue using accurate spatial analysis and clear map outputs. During the project, several challenges were encountered, including inconsistent and incomplete datasets, difficulties in integrating multiple spatial data sources, and processing large geospatial datasets efficiently while maintaining accuracy. To overcome these challenges, I applied structured GIS workflows using ArcGIS and QGIS, including data cleaning, preprocessing, and integration techniques, as well as remote sensing classification methods to improve data quality and reliability. The workflow was optimized to handle complex datasets, and results were validated through spatial cross-checking techniques. The final output included high-quality thematic maps and spatial analysis results that provide clear insights into the studied problem, demonstrating how GIS can be effectively used to support real-world societal and environmental decision-making.