Awesome GIS is a collection of geospatial related sources, including cartographic tools, geoanalysis tools, developer tools, data, conference & communities, news, massive open online course, some amazing map sites, and more. Please contribute. Let's make this guide better! Please follow the Contri...
NJTPA Engage- Database of 300 + public engagement tools, techniques, and software. Searchable on multiple levels. Ushahidi- Open-source crowdsourced mapping tool with the aim to empower communities around the world to tackle their own problems by collecting citizen input. ...
Expertise: Urban hydrology, Environmental monitoring, Urban drainage metrology, Imaging techniques for hydraulic applications, Physical models in water engineering Xiaoyong Bai Institute of Geochemistry, Chinese Academy of Sciences; State Key Laboratory of Environmental Geochemistry, ChinaExpertise: Karst, ...
In addition, there has been a rise in the use of knowledge discovery techniques due to the increasing collection and storage of data on spatiotemporal processes and mobile objects. Incorporating these novel developments, this second edition reflects the current state of the art in the field.New ...
SS_XML_SCHEMACOLLECTION_CATALOG_NAMEString定義 XML 結構描述集合名稱所在目錄的名稱。 如果找不到目錄名稱,則此變數包含空字串。1 SS_XML_SCHEMACOLLECTION_SCHEMA_NAMEString定義 XML 結構描述集合名稱所在結構描述的名稱。 如果找不到結構描述名稱,這就是空字串。1 ...
When designing visualization techniques for time-varying data, one should take thecharacteristics of the data into consideration. Features of interest in a time series might exhibit a regular, periodic, or random pattern. A regular pattern is characterized by a feature that moves steadily through the...
Spatial data science is a subset of data science. It’s wheredata science intersects with GISwith a key focus on geospatial data and new computing techniques. Location matters in data science using statistical computing to access, manipulate, explore, and visualize data. ...
{M}}\)with holes and a non-linear and non-convex structure. We will rely on manifold learning18to capture the topology, i.e., the shape, of this dataset’s underlying space. Manifold learning techniques assume that the points from the datasetXlie on an underlying manifold, i.e., the ...
The science of science has attracted growing research interests, partly due to the increasing availability of large-scale datasets capturing the innerworkings of science. These datasets, and the numerous linkages among them, enable researchers to ask a r
More than two hundred papers have reported genome-wide data from ancient humans. While the raw data for the vast majority are fully publicly available testifying to the commitment of the paleogenomics community to open data, formats for both raw data and