From maps to models: Key concepts in Geographic Information Systems
Geographic Information Systems (GIS) have dramatically altered the landscape of spatial data analysis, which have allowed practitioners and scholars to gain important insights in a variety of domains, including emergency response, environmental management, and urban planning. Central to the function...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
International Academy of Ecology and Environmental Sciences
2025-09-01
|
| Series: | Computational Ecology and Software |
| Subjects: | |
| Online Access: | http://www.iaees.org/publications/journals/ces/articles/2025-15(3)/from-maps-to-models.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1839582881640349696 |
|---|---|
| author | Yohannes Shifera Daka Kassaye Hussein Ashenafi Yimam |
| author_facet | Yohannes Shifera Daka Kassaye Hussein Ashenafi Yimam |
| author_sort | Yohannes Shifera Daka |
| collection | DOAJ |
| description | Geographic Information Systems (GIS) have dramatically altered the landscape of spatial data analysis, which have allowed practitioners and scholars to gain important insights in a variety of domains, including emergency response, environmental management, and urban planning. Central to the functionality of GIS are two integral components: maps and models. Although maps have historically been used to graphically and statically depict spatial data, GIS models go beyond static representations to turn maps into dynamic, predictive tools. These models help predict and analyze spatial dynamics across time by simulating real-world phenomena. These models allow for simulations of real-world phenomena, aiding in forecasting and analyzing spatial processes over time. This paper explores the evolution of GIS, focusing on the shift from traditional cartographic maps to dynamic models, highlighting how these advancements have revolutionized spatial analysis and influenced real-world applications. An understanding of how GIS is influencing the future of spatial data interpretation is provided by the exploration of the interaction between maps and models. |
| format | Article |
| id | doaj-art-f8a4543b51ea403497df6485f488a04b |
| institution | Matheson Library |
| issn | 2220-721X |
| language | English |
| publishDate | 2025-09-01 |
| publisher | International Academy of Ecology and Environmental Sciences |
| record_format | Article |
| series | Computational Ecology and Software |
| spelling | doaj-art-f8a4543b51ea403497df6485f488a04b2025-08-04T03:00:12ZengInternational Academy of Ecology and Environmental SciencesComputational Ecology and Software2220-721X2025-09-01153114126From maps to models: Key concepts in Geographic Information SystemsYohannes Shifera Daka0Kassaye Hussein1Ashenafi Yimam2Department of Forestry, Dambi Dollo University, Dambi Dollo, EthiopiaSchool of Geography and Environmental Studies, Haramaya University, Dire Dawa, EthiopiaSchool of Geography and Environmental Studies, Haramaya University, Dire Dawa, EthiopiaGeographic Information Systems (GIS) have dramatically altered the landscape of spatial data analysis, which have allowed practitioners and scholars to gain important insights in a variety of domains, including emergency response, environmental management, and urban planning. Central to the functionality of GIS are two integral components: maps and models. Although maps have historically been used to graphically and statically depict spatial data, GIS models go beyond static representations to turn maps into dynamic, predictive tools. These models help predict and analyze spatial dynamics across time by simulating real-world phenomena. These models allow for simulations of real-world phenomena, aiding in forecasting and analyzing spatial processes over time. This paper explores the evolution of GIS, focusing on the shift from traditional cartographic maps to dynamic models, highlighting how these advancements have revolutionized spatial analysis and influenced real-world applications. An understanding of how GIS is influencing the future of spatial data interpretation is provided by the exploration of the interaction between maps and models.http://www.iaees.org/publications/journals/ces/articles/2025-15(3)/from-maps-to-models.pdfadvancementsmapsmodelspredictive toolsstatic representations |
| spellingShingle | Yohannes Shifera Daka Kassaye Hussein Ashenafi Yimam From maps to models: Key concepts in Geographic Information Systems Computational Ecology and Software advancements maps models predictive tools static representations |
| title | From maps to models: Key concepts in Geographic Information Systems |
| title_full | From maps to models: Key concepts in Geographic Information Systems |
| title_fullStr | From maps to models: Key concepts in Geographic Information Systems |
| title_full_unstemmed | From maps to models: Key concepts in Geographic Information Systems |
| title_short | From maps to models: Key concepts in Geographic Information Systems |
| title_sort | from maps to models key concepts in geographic information systems |
| topic | advancements maps models predictive tools static representations |
| url | http://www.iaees.org/publications/journals/ces/articles/2025-15(3)/from-maps-to-models.pdf |
| work_keys_str_mv | AT yohannesshiferadaka frommapstomodelskeyconceptsingeographicinformationsystems AT kassayehussein frommapstomodelskeyconceptsingeographicinformationsystems AT ashenafiyimam frommapstomodelskeyconceptsingeographicinformationsystems |