Search Results for "elevation"

This is an R package designed for producing beautiful and interactive 2D and 3D visualizations — especially maps and terrain renderings — using elevation/gridded data and ray-tracing / hill-shading methods. At its core, rayshader takes a matrix of elevations and applies shading, texture, ambient occlusion, overlays, and light modeling (ray shade, lambertian shading, etc.) to produce realistic relief maps. Users can rotate, zoom, and animate the scenes or script camera trajectories programmatically. ...

Analyze using summary metrics like BikeStress, TRIMP, or RPE. Extract insight via models like Critical Power and W'bal. Track and predict performance using models like Banister and PMC. Optimize aerodynamics using Virtual Elevation. Train indoors with ANT and BTLE trainers. Upload and Download with many cloud services including Strava, Withings, and Today's Plan. Import and export data to and from a wide range of bike computers and file formats. Track body measures, and equipment use and set your own metadata to track. GoldenCheetah provides tools for users to develop their own metrics, models, and charts. ...

A Python package for geospatial analysis and interactive mapping in a Jupyter environment. Leafmap is a Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment. It is a spin-off project of the geemap Python package, which was designed specifically to work with Google Earth Engine (GEE). However, not everyone in the geospatial community has access to the GEE cloud computing platform. Leafmap is designed to fill this gap for non-GEE users. It...

BinaryView is able to show 2d binary data either as xy-plot or using a simple fragment shader. Standard shaders like simple color mapping or a relief shading for digital elevation data already exist, but you can also write your own shader. As an example, the screenshots show Mars MOLA topographic data taken from http://pds-geosciences.wustl.edu/missions/mgs/megdr.html

The intention behind this Lidar Visualisation Toolbox is to provide an easy-to-use, stand-alone application to create visualisations from high-resolution airborne LIDAR-based digital elevation data. LiVT also includes tools like raster file creation from xyz point clouds. A few mouse clicks and some processing time should be enough to go from an xyz ASCII file to a grey-scale SVF image, an LRM map or a percentage map of cumulative visibility. As LiVT does not include a data viewer, additional software will be necessary to display the processing results.

Vector Raster Geographic Information Synthesis. Incorporates Vector: Vector processing, Image processing, Digital Elevation Model DEM processing. These data can be combined to be viewed in 3D. Multitude of system organization aids.

The project is a data engine to manage huge earth survey data such as digital elevation model and orthoimage, and provide a graphic interface to show the data.