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117 results about "Geographical zone" patented technology

The five main latitude regions of the Earth's surface comprise geographical zones, divided by the major circles of latitude. The differences between them relate to climate. On the basis of latitudinal extent, the globe is divided into three broad heat zones.

System and method of geospatially mapping topological regions and displaying their attributes

A geographical information system and a method are disclosed for geospatially mapping a least one parcel polygon within a geographical region and for displaying at least one specific attribute of each parcel polygon, i.e. a topological area within the given geographical region, as an attached attribute of latitude and longitude coordinates. The centroid or center point of each of the parcel polygons is determined and stored into conventional computer storage means. The latitude and longitude point feature at the centroid of each parcel polygon is established and similarly stored. A unique tax identification number, e.g. the Assessor Parcel Number (APN) or Parcel Identifier Number (PIN), is assigned to each of the point features. A correlation is then made between the unique tax identification number of the point feature to a text list of at least one attribute, e.g., the physical address of the parcel polygon, of each of the point features. This attribute becomes attached to each point feature. The resulting parcel polygon map and point features with one or more of the attached attributes can then be displayed within a GIS or CAD system to provide the user, for example, accurate locations of street addresses for use in environments that require pinpoint accuracy, such as emergency response.
Owner:GIS DATA RESOURCES

Geographical science domain named entity recognition method

ActiveCN107133220AEntity recognition implementationCorrect mislabeling issueSemantic analysisSpecial data processing applicationsDomain nameConditional random field
The invention discloses a geographical science domain named entity recognition method, which is used for recognizing geographical science core term entities and geographical location entities. The method mainly comprises three steps of (1) establishing a geographical science domain dictionary, and using a new word discovery algorithm to identify new words in the geographical science domain in an unsupervised way; (2) training and testing based on a conditional random field (CRF) model and a multichannel convolutional neural network (MCCNN) model; (3) carrying out error correcting and fusion on entities recognized by the models by using a rule-based method. According to the geographical science domain named entity recognition method, the new words of the domain are identified as the dictionary in an unsupervised way by using the new word discovery algorithm, so that the work distinguishing effect is improved. The semantic vectors of the words are learnt from large-scale unmarked data in an unsupervised way, and basic characteristics of the words are synthesized and are taken as the input characteristics of the MCCNN model, so that manual selection and construction of the characteristics are avoided. The predicting results of the two models are fused by means of a custom rule, so that the problem of error marking in a recognition process can be corrected.
Owner:SOUTHEAST UNIV
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