A modern African restaurant wanted to establish a comprehensive online platform to develop its takeout and delivery sales. The goal was to provide a smooth and professional digital experience, from menu discovery to order receipt, while automating management, payment, and customer relationship processes.
Wildfires represent a major environmental threat worldwide. This interactive web application enables real-time visualization of active fires around the globe using NASA's EONET API, providing citizens, researchers, and authorities with an accessible tool to monitor these natural disasters.
Detecting palm forests through satellite imagery — Mapping Raffia stands in Cameroon
How can public awareness about the evolution of a global health crisis be effectively raised? Data visualization offers a powerful answer: transforming raw numbers into visual insights understandable by everyone. This is the objective set for this COVID-19 dashboard project.
How patterns detection and spatio-temporal Data Analysis can help crime incidents analysis that change location over time? Or county tax rates analysis that are fixed locations with attributes which also change over time? Space-time pattern mining tools have applications in various domains, including transportation planning, urban studies, public health, environmental monitoring, crime analysis, and natural disaster management.
Multi-criteria suitability modeling in Geographic Information Systems (GIS) is a powerful analytical tool that combines spatial data from various sources to identify optimal locations meeting specific criteria. This approach transforms complex decision-making problems into visual, quantifiable solutions by assigning weights to factors to reflect their importance, combining multiple data layers, and generating suitability scores for different locations.
This practical project focuses on fire risk management in the northern suburbs of Montpellier. How can vector analysis tools and automated processing models help identify risk areas, including residential areas?
The OD Cost Matrix solver is a network analysis tool that calculates the fastest or least-cost travel paths between multiple origin points (ex: patients) and multiple destination points (ex: hospitals). Instead of measuring straight-line distance, it uses the real road network to compute ✅ Driving time ✅ Travel distance ✅ Route accessibility.
How can complex delivery route optimization be automated to save time and reduce human error? Which geoprocessing tools in ArcGIS Pro can be chained together to create a reusable routing system for 25 stores?
A distribution company needed to efficiently deliver goods from a single distribution center to 25 grocery stores using a fleet of three trucks. Each store had specific demand quantities and time windows for deliveries, while each truck had limited capacity. The challenge was to design optimal delivery routes that would minimize overall transportation costs while respecting all operational constraints.
The task is to identify the optimal location for a new coffee shop in Sacramento County by analyzing the spatial distribution of existing restaurants and food service establishments. The goal to leverage geographic data to support a strategic business decision, ensuring the new coffee shop would be situated in an area with high restaurant density to attract more customers and benefit from existing foot traffic.
How to detect ships in the satellite images using deep learning model based on Convolutional Neural Networks (CNNs)? There are many large vessels (ships), sometime illegal in sea, how Artificial Intelligence (AI) can help at detecting them?
Discover movies and TV series in real time — Two approaches, one vision. Finding reliable information about a movie or TV show often means juggling between multiple websites. That is exactly the problem this project solves, developed in two distinct versions to explore React's different philosophies.
Cartographic design balancing art and science
Interactive web mapping application showcasing cartographic products of Guinea, West Africa.
How to use prediction to forecast future values like tomorrow's air quality in the city of Paris? How to make prediction or estimation of the average voter turnout in a particular county or region?
Created and led by Rabiaa Marhouch, the Sembura collection is supported by the Corymbo Foundation, Zurich, Switzerland.
This exercise demonstrates different types of cartographic representations to illustrate population distribution and road traffic in the Hérault department.
In this scenario, the goal is to identify the shortest route between two remote northern Canadian communities: Coppermine in the Northwest Territories and Kangiqsualujjuaq in Nunavik (Northern Quebec). How can the optimal path between these distant locations be determined?
Where should new retail stores be opened to better serve customers? Location-Allocation is a spatial decision-making tool used to identify the most strategic places to position new facilities (like stores, hospitals, schools) so they can serve demand efficiently.
The distribution company faces an unexpected operational crisis - the driver for Truck 2 goes on vacation, leaving 25 stores to be serviced with only 2 trucks instead of 3. This situation requires urgent reorganization of the delivery system without interrupting customer service.
To begin this assignment, the objective is to evaluate the suitability of three potential locations for a new coffee shop in Sacramento. The first criterion analyzed is workplace proximity, because the assignment requires determining how many employees work within a walkable distance of each location. The datasets used are the Workplace Area Employee data and the Candidate Coffee Shop building footprints already included in the ArcGIS Pro project.
The purpose of this exercise was to understand the 2019 Novel Coronavirus COVID-19 Data Repository by Johns Hopkins CSSE and explore it using some foundational packages in the Scientific Python Data Science stack without intention to create or publish original data vizuations, to not dilute those that experts with domain expertise are publishing.
Planning a wedding can quickly become a source of stress - multiple vendors to coordinate, budget to track, guests to manage, tasks to divide between the future spouses. Many couples hire a wedding planner, but others prefer to stay in control while still needing a reliable tool to guide them along the way. Planning a wedding with peace of mind — A complete MERN application
An ecosystem that has been damaged, degraded or destroyed is not a lost cause. This project outlines a case study in Guinea, where the mining company Rio Tinto successfully used ecological restoration.
How can food assistance be ensured to effectively reach the populations that need it most? Spatial statistical analysis offers an objective answer by identifying significant clusters of program participation, enabling evidence-based resource allocation.
From coastline, beautiful mountains in the South, and breathtaking savannahs, Guinea offers numerous places to explore.
Professional website with robust database and free quote application, designed to enhance visibility, integrate an e-commerce shop and a secure administration panel to manage content, products and leads.
This map shows census tracts in Houston, Texas, that have many households without access to a vehicle. These areas may need to be considered for evacuation assistance in case of a hurricane or other natural disaster.
What if smart van routes could be designed that don't just calculate shortest paths, but actually respect appointment times, wheelchair needs, and patient comfort? How can everyone be picked up and dropped off efficiently while managing real-world constraints?
Practical, real-world application of remote sensing technologies to wildfire detection and management, developed with expertise using QGIS and Google Earth Engine. This course is part of the edX AlaskaX series and is essential for anyone interested in environmental monitoring and disaster management.
For this second phase of the site suitability analysis, the objective is to determine which of the three candidate coffee shop locations in Sacramento has the highest number of residents living within a 5-mile driving distance. To do that, the Network Analyst extension in ArcGIS Pro is used to create a network-based Service Area analysis. The input datasets for this assignment are the Candidate Coffee Shop Locations, the Roads Network Dataset, and the Population by Block Group.
