Representation
Flows
Bibliographic Data
| ID | 23685043 |
|---|---|
| Authors | James Bothwell (0000-0002-5341-8924, University of Oklahoma, corresponding author), James D Bothwell |
| Year | 2017 |
| Pages | 1-4 |
| Publication date | 2017-03-06 |
| Open Access | Yes |
| Type | CHAPTER |
| Venue | International Encyclopedia of Geography (SOURCE_BOOK) |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1002/9781118786352.wbieg0858 |
| OpenAlex | W4253256641 |
| ISBN | 9781118786352 |
| Language | EN |
| References cited | 7 |
Flow is found where there is continuous movement of energy, inanimate matter, and biological entities. Flow can be of physical properties or intangible concepts. The representation of flow in geography has followed the discrete object or event‐oriented approach subject to the constraints of map‐making, user comprehension, and discrete digital signals. Map‐makers need to abstract to clarify the message they wish to communicate. Users can quickly understand maps with low levels of message information. Geographic information systems (GIS) have a propensity toward discrete representations due to data storage considerations and analysis limitations. The lack of continuous representations and analysis capability in GIS hampers the representation and analysis of real‐world spatiotemporal physical processes modeled with partial differential equations.
Comprehension · Event (particle physics) · Flow (mathematics) · Flow map · Human–computer interaction · Information flow · Object (grammar) · Programming language · Representation (politics) · Artificial Intelligence · Computer Science · Data Management and Algorithms · Geographic Information Systems Studies · Human Mobility and Location-Based Analysis · Mathematics · Theoretical Computer Science
| Highly cited | No |
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