Search Results for "geospatial"

...Sedona extends existing cluster computing systems, such as Apache Spark and Apache Flink, with a set of out-of-the-box distributed Spatial Datasets and Spatial SQL that efficiently load, process, and analyze large-scale spatial data across machines. According to our benchmark and third-party research papers, Sedona runs 2X - 10X faster than other Spark-based geospatial data systems on computation-intensive query workloads. According to our benchmark and third-party research papers, Sedona has 50% less peak memory consumption than other Spark-based geospatial data systems for large-scale in-memory query processing. Sedona offers Scala, Java, Spatial SQL, Python, and R APIs and integrates them into underlying system kernels with care. ...

GeoStats.jl is a Julia framework for geospatial data science and geostatistical modeling. It’s fully implemented in Julia and designed to provide an extensible, high-performance stack that handles spatial domains, interpolation, simulation, learning, and visualization. The package is modular: it breaks out geometry, spatial domains, transforms, variograms, covariance models, and modeling into subpackages (e.g., GeoStatsBase, GeoStatsModels, GeoStatsTransforms).

The goal of "GeoWeb 3D Globe" is developing 3D visualization and utilization module for geospatial data. We are conveniently wide range of developers hope to take advantage of geospatial information. Using three-dimensional spatial information service developed for web-based 3D "GeoWeb 3D Globe" The main contents of the project are as follows: 1. Based on proven open source SW(WWJava) 2. Specializing in 3D visualization of geospatial data 3.

Migratool is a software tool, which aims to easy the geospatial (and non-geospatial) data migration among both distributed and heterogeneous data sources. This tool is based on a three tiers architecture and it has been implemented using the J2EE archite