OSM2LES is an open-source Python-based code extracting and rasterizing building footprint from OpenStreetMap for the underlying geometry required by some LES applications such as PALM. It takes longitude/latitude coordinates enclosing a bounding box, desired resolution, default building height, rotation angle as input and outputs the rastered urban layouts in plain text ASCII form. In addition, OSM2LES calculates key geometric parameters such as density, street connectivity and entropy of facet to characterize the rastered computational domain, which proved to be effectively control the urban flow.OSM2LES can be installed from https://pypi.org/project/OSM2PALM/, please contact Jiachensc@gmail.com if you have any questions
This dataset contains tile imagery from the OpenStreetMap project alongside label masks for building...
Location-based mobile services/applications are becoming more and more popular both on the web and...
The Fifth International Conference on Advances in Computation, Communications and Services ACCSE 202...
OSM2LES is an open-source Python-based code extracting and rasterizing building footprint from OpenS...
OSM2PALM is an open-source Python-based code extracting and rasterizing building footprint from Open...
<p>OSMnx is a Python package that lets you download spatial geometries and construct, project, visua...
This repository contains a Python script (Jupyter notebook) implementing extraction of street blocks...
Computational notebooks offer researchers, practitioners, students, and educators the ability to int...
OpenStreetMap’s success continues to grow and contributions are not limited to the collection of sp...
OpenStreetMap’s success continues to grow and contributions are not limited to the collection of sp...
OpenStreetMap is a valuable, widely used data source for transport and geographic analysis, owing pa...
OpenStreetMap is the largest freely accessible geographic database of the world. The necessary proce...
OpenStreetMap (OSM) is a bottom up community-driven initiative to create a global map of the world. ...
UrbanSim is an open source software platform for agent-based geospatial simulation, focusing on the ...
NeoGeography or geoWe2.0 are recent buzzwords for a paradigm shift on how geographic information is ...
This dataset contains tile imagery from the OpenStreetMap project alongside label masks for building...
Location-based mobile services/applications are becoming more and more popular both on the web and...
The Fifth International Conference on Advances in Computation, Communications and Services ACCSE 202...
OSM2LES is an open-source Python-based code extracting and rasterizing building footprint from OpenS...
OSM2PALM is an open-source Python-based code extracting and rasterizing building footprint from Open...
<p>OSMnx is a Python package that lets you download spatial geometries and construct, project, visua...
This repository contains a Python script (Jupyter notebook) implementing extraction of street blocks...
Computational notebooks offer researchers, practitioners, students, and educators the ability to int...
OpenStreetMap’s success continues to grow and contributions are not limited to the collection of sp...
OpenStreetMap’s success continues to grow and contributions are not limited to the collection of sp...
OpenStreetMap is a valuable, widely used data source for transport and geographic analysis, owing pa...
OpenStreetMap is the largest freely accessible geographic database of the world. The necessary proce...
OpenStreetMap (OSM) is a bottom up community-driven initiative to create a global map of the world. ...
UrbanSim is an open source software platform for agent-based geospatial simulation, focusing on the ...
NeoGeography or geoWe2.0 are recent buzzwords for a paradigm shift on how geographic information is ...
This dataset contains tile imagery from the OpenStreetMap project alongside label masks for building...
Location-based mobile services/applications are becoming more and more popular both on the web and...
The Fifth International Conference on Advances in Computation, Communications and Services ACCSE 202...