http://rdf.ncbi.nlm.nih.gov/pubchem/patent/CN-109117861-B
Outgoing Links
| Predicate | Object |
|---|---|
| classificationCPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06F18-231 |
| classificationIPCInventive | http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06K9-62 |
| filingDate | 2018-06-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| grantDate | 2022-01-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationDate | 2022-01-25-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| publicationNumber | CN-109117861-B |
| titleOfInvention | A Multi-level Aggregation Analysis Method of Point Sets Considering Spatial Location |
| abstract | The present invention relates to a multi-level aggregation analysis method of point set considering spatial position, which includes the following six steps: (1). Preliminary judgment on the existence of spatial aggregation based on hierarchical statistical map; (2). Space based on spatial autocorrelation Accurate judgment of the existence of aggregation; (3). Accurate judgment of spatial aggregation type based on spatial autocorrelation; (4) Accurate division of spatial aggregation area based on spatial autocorrelation; (5) Accurate division of abnormal distribution of aggregation based on spatial autocorrelation ; (6). Based on the clustering algorithm, the precise location of the contained points in the spatial aggregation area. The above method adopts a progressive multi-level judgment structure, so that if the previous level is not satisfied, there is no need to enter the judgment of the next level. Each level is closely related, and each level is progressive, which is in line with human cognitive needs. He habit is a method that is both accurate and accurate, fast and good. |
| priorityDate | 2018-06-29-04:00^^<http://www.w3.org/2001/XMLSchema#date> |
| type | http://data.epo.org/linked-data/def/patent/Publication |
Incoming Links
| Predicate | Subject |
|---|---|
| isDiscussedBy | http://rdf.ncbi.nlm.nih.gov/pubchem/substance/SID452858641 http://rdf.ncbi.nlm.nih.gov/pubchem/compound/CID165166 |
Total number of triples: 12.