Data visualization of urban populations
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Updated
Jan 5, 2023 - JavaScript
Data visualization of urban populations
Artificial London Using Multi-agent System
It enables users to find any service professional like a plumber, a doctor, an electrician, or an home cleaner. They want to be the go-to platform helping customers complete the projects that are important to their urban lives everything from designing their homes to capturing key moments, learning arts, filing taxes, and getting healthier etc.
The repository provides the material to reproduce the study "On the need to move from a single indicator to a multi-dimensional framework to measure accessibility to urban green" by A. Battiston and R. Schifanella. Pre-print available on ArXiv. Explore the results of the study through our interactive web interface.
Urban tree management is the key basis for greener cities of the future. Urban Tree Management aims to raise awareness for the positive impacts and benefits of city trees. Our website includes where to get fertiliser easily, where to plant trees in your nearby location with the help of map, to track the condition, and the overall management of t…
Using a machine learning model that predicts the number of specific plants and trees that we can install to lessen the impact of deforestation, determine how many plants and trees we can plant in our leftout area in the building.
Servicios y productos hortícolas adaptados a la ciudad
Working on classfication of sounds using different methods. Dataset acquired from analytics vidhya
Adrift app repository
Exploring Met Office UKV high-resolution dataset
OpenReblock is a collaborative research project that aims to develop community-driven planning tools for slum-dwellers.
Use Sentinel satellite data, to...
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