Combining geospatial data with machine learning in projects that support disaster response, humanitarian action and conservation efforts.
Geospatial data for peer-to-peer communication among autonomous vehicles using optimized machine learning algorithmArtificial intelligenceSupport vector machine kernelElephant herding optimizationGrey wolf optimizerAutonomous vehicles communicationThe transportation infrastructure of the future will be based on ...
Combining geospatial data with machine learning in projects that support disaster response, humanitarian action and conservation efforts.
The contention of this paper is that many social science research problems are too "wicked" to be suitably studied using conventional statistical and regression-based methods of data analysis. This paper argues that an integrated geospatial approach based on methods of machine learning is well suited...
Machine Learning for Spatial Environmental Data: Theory, Applications, and Software PREFACE LEARNING FROM GEOSPATIAL DATA Problems and important concepts of machine learning Machine learning algorithms for geospatial data Contents of the b... M Kanevski,A Pozdnoukhov,V Timonin 被引量: 0发表: 2009年...
In this work, we develop a machine-learning-based framework combining widely-available multi-modal data including street view images, road networks, and building maps to predict the geospatial map of distribution grids. Its performance is extensively evaluated across the test areas in both California...
several themes intersecting with spatial ML, namely knowledge discovery and data mining [27,28,29], spatial prediction methods [30], artificial neural networks in geospatial analysis [31], ML for spatial environmental data [25], and active deep learning for geo-text and image classification [32...
Cartopy - Cartopy is a Python package designed for geospatial data processing in order to produce maps and other geospatial data analyses. SciPy - A Python-based ecosystem of open-source software for mathematics, science, and engineering. NumPy - A fundamental package for scientific computing with ...
空间大数据 (Spatial big data); 遥感数据 (Remotely sensed data) ; 社交媒体数据 (Social media data) ; 地理空间智能 (Geospatial artificial intelligence) ; 机器学习 (Machine learning) 技术。 文章荐读 1. Quantifying the Effect of Land Use Change Model Coupling ...
Advanced geospatial artificial intelligence (AI) has been a boon for GIS. Machine Learning: The Logic Behind Spatial Analysis A subset of AI, machine learning applies algorithms to location and historical data to expand learning. From there, it makes logical decisions based on those learnings.1 ...