Spatial data might contain additional information or nonspatial data known asattributes. An attribute is usually a piece of information that describes a feature. Spatial data can have any number of attributes a
根据Anselin(1988),空间数据的特征包括空间自相关(有时也称为空间依赖性,spatial autocorrelation,spatial dependence, spatial correlation)和空间异质性(spatial heterogeneity)。 一方面,根据Tobler(1970)的地理学第一定律,一切事物都与其他事物相关,但近处的事物比远处的事物更相关,空间自相关通常分为正的空间自相关和负...
What is spatial data infrastructure ?Manager, Data
Spatial Data Spatial data refers to all types of data objects or elements that are present in a geographical space or horizon. It enables the global finding and locating of individuals or devices anywhere in the world. Advertisements Spatial data is also known as geospatial data, spatial informati...
Today, let’s explorespatial data science. How is it different from spatial analysis? And what are some examples of data science? What is Data Science? (Without Spatial) Data science is the study of information and its source, collection, organization, processing, and presentation. It is anin...
Spatial computing is the next generation technology that will enhance the way we work. Learn the opportunities and possibilities for industrial spaces.
What is Spatial Data Introduction to Spatial Data The data set that is used to analyze the past as well as to work on analytics is known as Spatial Data. Spatial Data is limited to simple spreadsheet level information, but it also comprises imagery from Satellites and Drones, addresses data ...
Spatial Data Science is a subset of Data Science that focuses on the special characteristics of spatial data, using modeling to know where & why things happen.
Geospatial artificial intelligence (GeoAI) is the application of artificial intelligence fused with geospatial data, science, and technology to accelerate real-world understanding.
Spatial data mining is the application of data mining to spatial models. In spatial data mining, analysts use geographical or spatial information to produce business intelligence or other results. This requires specific techniques and resources to get the geographical data into relevant and useful forma...