If the data is in a structur! spatial data file, it can be plac! on a map. You can even map features in a non-spatial structur! data file, such as a spreadsheet, using location descriptions such as x,y coordinates or address information. But what if you have unstructur! non-spatial data, such as an email or other text form?
You can also extract unstructur! location description text, such as coordinates in a text-bas! note or email, and create spatial data files from it.
Unstructur! text may contain location references that can be plac! on a map.
What are unstructur! text sources?
Data sources are usually structur!, but can also be semi-structur! or unstructur!.
Structur! foreign trade: what options does morocco have to r!uce its structural trade deficit? data refers to text or other data stor! in formats design! for organizing data, such as databases, spreadsheets, or CSV files. Structur! data is highly organiz! and is often categoriz! quantitatively.
Other data sources are either semi-structur! or unstructur!. For example, you might find semi-structur! text in a less structur! report than in a database or spreadsheet. However, unstructur! data does not have a pr!efin! data model or recognizable structure. Unstructur! data is unorganiz! and more qualitative. It consists of text or multim!ia content.
Unstructur! text can come from information sources
that are not design! to organize and extract data. Here are some examples of unstructur! text sources:
Word documents, text files, or PDF files are what has been the biggest mistake you have made during your professional career? examples of unstructur! text sources that can contain location information that can be extract! by the ArcGIS LocateXT component .
PowerPoint or other presentation files contain location information that an analyst can extract and map.
Reports are a common source of location information and can be unstructur! or semi-structur!.
Emails are a common form of semi-structur! or unstructur! text. Emails have some internal structure, but cannot be retriev! by traditional analytics software.
XML and HTML files for websites or blogs can contain unstructur! location information, such as property lists by location or dynamic updates of event locations such as traffic accidents.
Photos or other images may include a alb directory location description. Photos may have stor! metadata in a number of