THE ROLE OF GIS TECHNOLOGIES IN ASSESSING NATURAL TOURISM POTENTIAL

This article investigates the application of Geographic Information System (GIS) technologies in evaluating and mapping natural tourism potential within specific regions, addressing the challenge of quantifying and visualizing the natural resources that enhance tourism attraction. By integrating spatial data pertaining to natural features, land use patterns, and tourism infrastructure, alongside qualitative insights regarding tourist preferences and environmental impacts, the research reveals significant patterns in the distribution of tourism resources. Key findings indicate that areas rich in biodiversity, scenic landscapes, and accessible infrastructure are strongly tied to increased tourist engagement, while also highlighting potential areas for sustainable tourism development. The significance of these results extends beyond tourism alone; they provide critical insights for healthcare by promoting the health benefits associated with ecotourism and nature-based activities. Additionally, the study underscores the potential for GIS technologies to guide policy-making in regional development, fostering collaborations between tourism, public health, and conservation efforts. The broader implications of this research suggest that employing GIS in the assessment of natural tourism potential can not only enhance economic outcomes in tourism-dependent regions but also contribute to the overarching goal of sustainable development by ensuring the preservation of natural environments where health and well-being thrive. Thus, this study establishes a framework for leveraging technology to better understand and manage the nexus between natural resources, tourism, and public health.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-10
DOI
https://doi.org/10.5281/zenodo.15632104
Primary Topic
Growth Hormone and Insulin-like Growth Factors
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

THE ROLE OF GIS TECHNOLOGIES IN ASSESSING NATURAL TOURISM POTENTIAL

Zenodo (CERN European Organization for Nuclear Research)
Growth Hormone and Insulin-like Growth Factors
article

THE ROLE OF GIS TECHNOLOGIES IN ASSESSING NATURAL TOURISM POTENTIAL

article en

Abstract

This article investigates the application of Geographic Information System (GIS) technologies in evaluating and mapping natural tourism potential within specific regions, addressing the challenge of quantifying and visualizing the natural resources that enhance tourism attraction. By integrating spatial data pertaining to natural features, land use patterns, and tourism infrastructure, alongside qualitative insights regarding tourist preferences and environmental impacts, the research reveals significant patterns in the distribution of tourism resources. Key findings indicate that areas rich in biodiversity, scenic landscapes, and accessible infrastructure are strongly tied to increased tourist engagement, while also highlighting potential areas for sustainable tourism development. The significance of these results extends beyond tourism alone; they provide critical insights for healthcare by promoting the health benefits associated with ecotourism and nature-based activities. Additionally, the study underscores the potential for GIS technologies to guide policy-making in regional development, fostering collaborations between tourism, public health, and conservation efforts. The broader implications of this research suggest that employing GIS in the assessment of natural tourism potential can not only enhance economic outcomes in tourism-dependent regions but also contribute to the overarching goal of sustainable development by ensuring the preservation of natural environments where health and well-being thrive. Thus, this study establishes a framework for leveraging technology to better understand and manage the nexus between natural resources, tourism, and public health.

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 42%
Growth Hormone and Insulin-like Growth Factors
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.