Data Quality Manager - Provides process automation that allows users to define and execute data translations, imports, exports and quality assurance procedures ...
I demonstrate that the absolute measure of planimetric error is insufficient information to determine the suitability of the point data for different applications - the data quality.
Free Webinar: Using ArcGIS Data Reviewer to Assess Data Quality
Watch and learn how to use the tools in ArcGIS Data Reviewer to automate, centrally manage, and improve your GIS data quality control processes.
Overview ...
The GPS L2C Signal: a preliminary analysis of data quality
by Rodrigo F. Leandro, Richard B. Langley, Liliana Sukeova, Thatchineswaran Thirumurthi, Marcelo C. Santos
Tweet ...
Data Quality -- How good are the data? Is information available that allows a user to decide if the data are suitable for his or her purpose? What is the positional and attribute accuracy? Are the data complete?
Data Quality Information
Section Index
Attribute Accuracy:
Attribute Accuracy Report: ...
Data Quality - Refers to the degree of excellence exhibited by the data in relation to the portrayal of the actual phenomena.
Data Sets - A collection of values that all pertain to a single subject.
Data quality is central to any GIS implementation, and positional accuracy of features, efficient data capture, and viewing ease are paramount for an effective and reliable GIS.
DATA QUALITY
An assessment of the completeness, currency, logical consistency, and accuracy of data for a particular purpose.
DATA SET
An organised collection of data with a common theme.
data quality
major difficulty is undercounting - census and other social surveys tend to miss certain groups, leading to bias in results
undercounting in US Census may be as high as 25% for certain social groups
data conversion ...
[data quality] The number of significant digits used to store numbers, particularly coordinate values. Precision is important for accurate feature representation, analysis, and mapping.
metadata information describing a collection of data; includes source, access issues, format, schema and data quality. N
national grid p.
The Data Warehousing Institute estimated that data quality problems cost U.S. businesses more than $600 billion per year.
Using open standards and documented APIs one can integrate (mash up) different data sources, if the projection system, map scale and data quality match.
Chapter 4: Data Quality and Accuracy
Chapter 5: Terminology
Glossary Search Engine
Full Text Glossary - indexed
Chapter 6: Feature Definition and Coding
Feature Dictionary Search Engine
Chapter 7: Linkage ...
The second is data quality. Many ASTER DEMs have large areas of missing data. The user interface is not easy to navigate. And lastly is the file format. ASTER DEMs are available in HDF or Geotiff format.
Root Mean Squared error or other assessments of data quality
Purpose of data set creation, where known
Method of original data capture (Total Station Survey, etc.) ...
Of these sites, the Algonquin telescope is considered to be amongst the top 5 in terms of data quality as a result of it's stable location on the Canadian shield.
The necessary extension of these two concepts on the basis of theory of science suggests that they (as well as data quality and information quality) should be centered on accuracy defined as the closeness to the true value seen as the degree of ...
The user should be aware with the aspects of data quality or accuracy, such as, "What is the source of data? Are the places at correct locations? Are the attribute values correct? Are the themes correctly labelled? Is the data complete?" ...
Part 2: Specifications - Standards for Digital Orthophotos Defines the specifications for geographic extent, collection, processing, datums and coordinates, accuracy, ground sample distance, image radiometry, image mosaicking, data quality, ...
After this phase has been performed the discrepancies between the datasets will have been identified. It is often useful to provide statistical summaries of data quality, or to visualize the discrepancies.
Processing time is dependent on the accuracy required, the software, the PC, the data quality, and the amount of data.
 See also: Information, GIS, Database, Software, Model
  
|
RSS
