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Data · dataset · 2017

Coastal Fishing Port Geography Distribution Dataset, China 2017

Listed in ScienceDB

In a series of data attributes of scientific data, geographic attributes are the most intuitive way of expressing data.

Description

Geographical description of the data will help users to understand the data, as well as to access and use it. Based on the database of "Fishing Port Quantity, Distribution, Function and Current Status" in Fishery Science Data Sharing Center, This paper uses the geographical attribute analysis method to construct the Fishing Port Geography Distribution Dataset, and promote the user's understanding and grasp of the data.

This dataset also lays the foundation for data applications based on geographic information. The method provided in this article also provides an example for the geographic attribute analysis of other datasets.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Geomatic engineering 68%
Provenance · 1 source records, 12 field assertions
SourceKeyLast seenRaw
ScienceDB10.11922/sciencedb.54211 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · scidb cnconnector:scidb_cn@1.0.0
concepts[field].anzsrc:group:4013enrichment · scidb cntaxonomy-embedding@1.0.0title+keywords+description (68%)
concepts[field].local:field:earth-environmentalmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:engineeringmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:humanitiesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:life-sciencesmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:ocean-atmosphericmapping · scidb cnconnector:scidb_cn@1.0.0
concepts[field].local:field:social-sciencemapping · scidb cnconnector:scidb_cn@1.0.0
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