Search Results for "get"

...There are a lot of possibilities to create a 3D terrain from geographic data with BlenderGIS, check the Flowchart to have an overview. Display dynamics web maps inside Blender 3d view, requests for OpenStreetMap data (buildings, roads, etc.), get true elevation data from the NASA SRTM mission. Manage georeferencing information of a scene, compute a terrain mesh by Delaunay triangulation, drop objects on a terrain mesh, make terrain analysis using shader nodes, set up new cameras from geotagged photos, set up a camera to render with Blender a new georeferenced raster.

...Mapbox GL JS is part of the cross-platform Mapbox GL ecosystem, which also includes compatible native SDKs for applications on Android, iOS, macOS, Qt, and React Native. Mapbox provides building blocks to add location features like maps, search, and navigation into any experience you create. To get started with GL JS or any of our other building blocks, sign up for a Mapbox account. In addition to GL JS, this repository contains code, issues, and test fixtures that are common to both GL JS and the native SDKs. Mapbox GL JS v2 enables 3D mapping with elevated terrain, customizable skies and atmospheric lighting, a new camera, and performance enhancements.

33 starts out to gather topographic information to compare different locations on key measures like Height Above Sea Level, Geographical Latitude, Aspect (ST_Aspect), Slope (ST_Slope), Terrain Ruggedness Index (TRI, ST_TRI/ST_Roughness), Topographic Position Index (TPI, ST_TPI), or Hill Shade (ST_HillShade). Ultimately intended to make a comparing decision on suitability for agriculture. We will see how far we get or if we surpass it even, e.g with weather data and more. Why 33 as the name? Even though the answers we could get from the project might be very important, they won't be "The Answer to the Ultimate Question of Life, the Universe, and Everything", so not quite 42. But why exactly 33? Well, the founder had a project given up project of self-sustainability at house number 33. ...

DeepSee is an interactive workspace for deep ocean scientists to upload sediment core data and map images and see their sampling history displayed across multiple connected views at once! 🦑🦀🐚 🚀 For a live demo, visit: https://www.its.caltech.edu/~datavis/deepsee/ 🌱 To get started, visit our Wiki: https://sourceforge.net/p/deepsee/wiki/Home/ 🧑‍💻 To modify DeepSee for your own project, visit our GitHub repository: https://github.com/orphanlab/DeepSee/ --- Created by Adam Coscia, Haley M. Sapers, Noah Deutsch, Malika Khurana, John S. Magyar, Sergio A. Parra, Daniel R. Utter, Rebecca L. Wipfler, David W. ...

...Manipulate reconstructions of geological and paleo-geographic features through geological time. Interactively visualize vector, raster and volume data. PyGPlates is the GPlates Python library. Get fine-grained access to GPlates functionality in your Python scripts.

UPDATE March 14, 2018 Repository and tracking officially moved to github. https://github.com/opticks-org/opticks Sourceforge mailing lists are still in use. Opticks is an open source remote sensing application and development framework.

LGML is a GML parser under the LGPL license. The aim is to parse a GML document or fragment in order to get a WKT output. 2D and 3D inputs are both handled, but it is not permitted to have mixed geometries. The caller can choose if the input coordinates are parsed as X, Y, Z (if present) order, or Y, X, Z (if present) order. The willing of the project is to be a starting point useful for developers that need to parse GML objects in order to use them, for example, in the context of OGC catalogue projects. ...

NOTE: this project has been renamed as GeoGig. Use this URL to get to the GeoGig downloads: https://sourceforge.net/p/geogig Welcome to the GeoGit project, exploring the use of distributed management of spatial data. GeoGit draws inspiration from Git, but adapts its core concepts to handle versioning of geospatial data. Users are able to import raw geospatial data (currently from Shapefiles, PostGIS or SpatiaLite) in to a repository where every change to the data is tracked. ...

Project consist of 2 parts. One of them is a J2ME app. used to get information such as photo, position, speed & course from GPS and transfers it to the web server. Another one is a web app. which allows to manage and display received data using GoogleMap

A Python library for easy creation and manipulation of Google Earth KML and KMZ placemark files. Please get your copy from http://pykml.cvs.sourceforge.net/viewvc/pykml/pykml/?view=tar

Use map data to plan hikes or explore new areas. Includes 3D maps of terrain rendered in real-time; trace trails across the terrain and get height verses distance profiles; tile together adjacent maps to create seamless map areas. Reads USGS SDTS files.