A Cartographic View of Spatial Data Quality
Bibliographic Data
| ID | 14701788 |
|---|---|
| Authors | Matthew McGranaghan (0000-0002-6747-9867, University of Hawaii System, corresponding author) |
| Year | 1993 |
| Volume | 30 |
| Issue | 2-3 |
| Pages | 8-19 |
| Publication date | 1993-09-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Cartographica The International Journal for Geographic Information and Geovisualization (JOURNAL) |
| Journal identifiers | ISSN: 0317-7173 • E-ISSN: 1911-9925 |
| Publisher | University of Toronto Press Inc. (UTPress) (PUBLISHER) |
| DOI | 10.3138/310v-0067-7570-6566 |
| OpenAlex | W1965303024 |
| Language | EN |
| Citations received | 11 |
Visualization of spatial data quality is fundamentally like the display of any other cartographic information. However, the demands of simultaneously symbolizing geographic entities and multiple measures of data quality have considerable potential of overwhelming the map graphic. Uses of conventional cartographic symbology for data quality displays are examined
Cartographic generalization · Cartography · Data mining · Data quality · Data science · Geography · Geovisualization · Information retrieval · Information visualization · Quality (philosophy · Remote sensing · Spatial analysis · Visualization · Computer Science · Data Management and Algorithms · Engineering · Geographic Information Systems Studies
Optimal Map Classification Incorporating Uncertainty Information
Visualizing Geospatial Information Uncertainty
Incorporating Data Quality Information in Mapping American Community Survey Data
Evaluating the Usability of a Tool for Visualizing the Uncertainty of the Future Global Water Balance
Evaluation of noise annotation lines
Visualization of Qualitative Locations in Geographic Information Systems
Cartography, ViSC and GIS
Geographical information systems and the problem of 'error and uncertainty
Systematic Assessment of Maps as Source Information in Landscape-change Research
Escaping the pushpin paradigm in geographic information science
Visualizing Georeferenced Data
| Unique citing works | 11 |
|---|---|
| Citations per year | 0,34 |
| Citation span | 1994 - 2017 (24) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 10 |