Version 1
: Received: 30 October 2024 / Approved: 31 October 2024 / Online: 31 October 2024 (16:43:55 CET)
How to cite:
Reyes, C.; Taylor, D. F. Cybercartography as a Theoretical Framework for the Design of an Expert-Topographic Map Service. Preprints2024, 2024102561. https://doi.org/10.20944/preprints202410.2561.v1
Reyes, C.; Taylor, D. F. Cybercartography as a Theoretical Framework for the Design of an Expert-Topographic Map Service. Preprints 2024, 2024102561. https://doi.org/10.20944/preprints202410.2561.v1
Reyes, C.; Taylor, D. F. Cybercartography as a Theoretical Framework for the Design of an Expert-Topographic Map Service. Preprints2024, 2024102561. https://doi.org/10.20944/preprints202410.2561.v1
APA Style
Reyes, C., & Taylor, D. F. (2024). Cybercartography as a Theoretical Framework for the Design of an Expert-Topographic Map Service. Preprints. https://doi.org/10.20944/preprints202410.2561.v1
Chicago/Turabian Style
Reyes, C. and D.R. Fraser Taylor. 2024 "Cybercartography as a Theoretical Framework for the Design of an Expert-Topographic Map Service" Preprints. https://doi.org/10.20944/preprints202410.2561.v1
Abstract
Abstract: New paradigms have emerged in mapping since the 20th century due to theoretical and practical advances in computer technology, communications, and cartography. For the design of the Expert-Topographic Map Service in Mexico, we adopted a theoretical framework of Cybercartography and expanded to incorporate expert systems and eventually other artificial intelligence resources. Using a transdisciplinary approach, our efforts could focus on the interconnection between knowledge and geotechnology to offer solutions to societal complex problems. This paper explores the theoretical pillars supporting the design of an Expert-Topographic Map Service, including cybercartography, knowledge-based systems and surface mathematical modeling. For the first time, cybercartography is applied in the realm of topographic mapping. As shown, a map conceived solely as an information system has been transformed, in the digital era, into a container of knowledge through the abstract representation of features like relief via the Triangular Irregular Network Model. Thereby, we can bridge from digital topographic maps to other knowledge-based models such as expert systems. The societal demand and empirical context for this research demonstrate that topographic maps and services are still at the core of cartographic initiatives in the 21st century.
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
