October 2013
Beginner to intermediate
364 pages
8h 8m
English
Content preview from Learning Geospatial Analysis with PythonBecome an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
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Metadata management
Internet distribution of data has increased the importance of metadata. Data custodians are able to release a data set to the entire world for download without any personal interaction. The metadata record of a geospatial data set can follow it to help ensure the integrity and accountability for that data is maintained. Properly formatted metadata also allows for automated cataloguing, search indexing, and integration of data sets. Metadata has become so important that a common mantra within the geospatial community is "Data without metadata isn't data", meaning that a geospatial data set cannot be fully utilized and understood without metadata. The following section will list some of the common metadata tools which are available. ...
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