Fuzzy view of environment
A period of fifty years has been reached since the introduction of the first applications based upon geographical information systems (GIS). GIS has not only influenced the development of methods, collection techniques, processing, manipulation and visualization of spatial data. It influenced also t...
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Format: | Article |
Language: | English |
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Geographical Institute "Jovan Cvijić" SASA
2007-01-01
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Series: | Zbornik Radova: Geografski institut "Jovan Cvijić" |
Subjects: | |
Online Access: | http://www.doiserbia.nb.rs/img/doi/0350-7599/2007/0350-75990757399B.pdf |
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author | Bajat Branislav Joksić Dušan Nedeljković Zoran |
author_facet | Bajat Branislav Joksić Dušan Nedeljković Zoran |
author_sort | Bajat Branislav |
collection | DOAJ |
description | A period of fifty years has been reached since the introduction of the first applications based upon geographical information systems (GIS). GIS has not only influenced the development of methods, collection techniques, processing, manipulation and visualization of spatial data. It influenced also the expansion of scientific research in geosciences, as well as the technical disciplines that are engaged in spatial analysis. Nowadays, GIS is becoming the tool for verification and practical implementation of models and algorithms that have been developed within the frame of basic scientific disciplines. The meaning of the GIS acronym is becoming more and more related to term of Geographical or Geo Information Sciences. Scientific concepts that are increasingly applied in GIS are more emphasized in that way. GIS computational techniques, required also the development of geographical data models that should effectively support GIS operations. These models represent formal equivalents of conceptual models used by people in observing geographic phenomena. Spatial phenomena used to be mapped as clearly defined points with known coordinates, or as lines which connect the very same points, or as polygons with exactly defined borders. They were mapped previously in analog form and nowadays in digital format. This approach of perceiving a space, data analyses and visualization of spatial quires is limited on the application of basic rules of Boolean algebra and binary logic, with final results presented as classical thematic maps. The need for a mathematical model that would describe uncertainty of spatial data, resulted in the introduction of the theory of fuzzy sets in spatial analysis. Moreover, this model will provide a solution for visualization and grouping up of spatial phenomena in classes which do not have clearly defined borders. |
first_indexed | 2024-03-11T13:45:30Z |
format | Article |
id | doaj.art-b536dd3335c746179eacd926760cefd5 |
institution | Directory Open Access Journal |
issn | 0350-7599 1821-2808 |
language | English |
last_indexed | 2024-03-11T13:45:30Z |
publishDate | 2007-01-01 |
publisher | Geographical Institute "Jovan Cvijić" SASA |
record_format | Article |
series | Zbornik Radova: Geografski institut "Jovan Cvijić" |
spelling | doaj.art-b536dd3335c746179eacd926760cefd52023-11-02T10:47:23ZengGeographical Institute "Jovan Cvijić" SASAZbornik Radova: Geografski institut "Jovan Cvijić"0350-75991821-28082007-01-0120075739940610.2298/IJGI0757399BFuzzy view of environmentBajat BranislavJoksić DušanNedeljković ZoranA period of fifty years has been reached since the introduction of the first applications based upon geographical information systems (GIS). GIS has not only influenced the development of methods, collection techniques, processing, manipulation and visualization of spatial data. It influenced also the expansion of scientific research in geosciences, as well as the technical disciplines that are engaged in spatial analysis. Nowadays, GIS is becoming the tool for verification and practical implementation of models and algorithms that have been developed within the frame of basic scientific disciplines. The meaning of the GIS acronym is becoming more and more related to term of Geographical or Geo Information Sciences. Scientific concepts that are increasingly applied in GIS are more emphasized in that way. GIS computational techniques, required also the development of geographical data models that should effectively support GIS operations. These models represent formal equivalents of conceptual models used by people in observing geographic phenomena. Spatial phenomena used to be mapped as clearly defined points with known coordinates, or as lines which connect the very same points, or as polygons with exactly defined borders. They were mapped previously in analog form and nowadays in digital format. This approach of perceiving a space, data analyses and visualization of spatial quires is limited on the application of basic rules of Boolean algebra and binary logic, with final results presented as classical thematic maps. The need for a mathematical model that would describe uncertainty of spatial data, resulted in the introduction of the theory of fuzzy sets in spatial analysis. Moreover, this model will provide a solution for visualization and grouping up of spatial phenomena in classes which do not have clearly defined borders.http://www.doiserbia.nb.rs/img/doi/0350-7599/2007/0350-75990757399B.pdfGISfuzzy logicvisualization |
spellingShingle | Bajat Branislav Joksić Dušan Nedeljković Zoran Fuzzy view of environment Zbornik Radova: Geografski institut "Jovan Cvijić" GIS fuzzy logic visualization |
title | Fuzzy view of environment |
title_full | Fuzzy view of environment |
title_fullStr | Fuzzy view of environment |
title_full_unstemmed | Fuzzy view of environment |
title_short | Fuzzy view of environment |
title_sort | fuzzy view of environment |
topic | GIS fuzzy logic visualization |
url | http://www.doiserbia.nb.rs/img/doi/0350-7599/2007/0350-75990757399B.pdf |
work_keys_str_mv | AT bajatbranislav fuzzyviewofenvironment AT joksicdusan fuzzyviewofenvironment AT nedeljkoviczoran fuzzyviewofenvironment |