The simulation and visualization of complex human–environment interactions

Gimblett, Randy; Cherry, Susan Spaeth; Meitner, Michael J.

doi:10.1016/s0169-2046(01)00126-8

Cited by 27 publications

(19 citation statements)

References 6 publications

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“…Assessing recreation and tourism services requires information about frequency and intensity of use. In support of such assessments, emerging visitor simulation models can determine the effects of changes in environmental characteristics on visitor behavior in space and time (81)(82)(83)(84), information that is also essential for assessments of impacts of use on affected ecosystems. At finer scales, assessments of particular activities at particular sites can be extended to detailed models that quantify the specific contributions of setting characteristics, such as scenic beauty or the probability of wildlife encounters (78,88), fitting the capture tier of the model of TEEB (16).…”

Section: Scientific Foundations For Integrating Cultural Servicesmentioning

confidence: 99%

Contributions of cultural services to the ecosystem services agenda

Daniel

Muhar

Arnberger

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

1,197

748

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Cultural ecosystem services (ES) are consistently recognized but not yet adequately defined or integrated within the ES framework. A substantial body of models, methods, and data relevant to cultural services has been developed within the social and behavioral sciences before and outside of the ES approach. A selective review of work in landscape aesthetics, cultural heritage, outdoor recreation, and spiritual significance demonstrates opportunities for operationally defining cultural services in terms of socioecological models, consistent with the larger set of ES. Such models explicitly link ecological structures and functions with cultural values and benefits, facilitating communication between scientists and stakeholders and enabling economic, multicriterion, deliberative evaluation and other methods that can clarify tradeoffs and synergies involving cultural ES. Based on this approach, a common representation is offered that frames cultural services, along with all ES, by the relative contribution of relevant ecological structures and functions and by applicable social evaluation approaches. This perspective provides a foundation for merging ecological and social science epistemologies to define and integrate cultural services better within the broader ES framework.natural capital | scenic beauty | cultural landscapes | tourism | spiritual value

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Section: Scientific Foundations For Integrating Cultural Servicesmentioning

confidence: 99%

Contributions of cultural services to the ecosystem services agenda

Daniel

Muhar

Arnberger

et al. 2012

Proc. Natl. Acad. Sci. U.S.A.

1,197

748

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“…Thus, in any investigation of urban expansion, the specific geographical, social, and political context must be considered. However, this phenomenon has typically been studied using spatial grids at the city or metropolitan area scale using satellite images with coarse spatial resolution, such as MODIS, Landsat, and SPOT (Cheng & Masser, 2003;Fang, Gertner, Sun, & Anderson, 2005;Gimblett, Daniel, Cherry, & Meitner, 2001;Ji et al, 2006;Martinuzzi, Gould, & Gonzalez, 2007;Sudhira, Ramachandra, & Jagadish, 2004;Tsutsumida, Saizen, Matsuoka, & Ishii, 2013;Weber, 2003). While these sensors are able to observe urban surfaces frequently, the coarse spatial resolution of these images is not sufficient to explore urban expansion because of the mixed pixel problem.…”

Section: Introductionmentioning

confidence: 99%

Addressing urban expansion using feature-oriented spatial data in a peripheral area of Ulaanbaatar, Mongolia

Tsutsumida

Saizen

Matsuoka

et al. 2015

Habitat International

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a b s t r a c tBecause of the lack of time-series spatial data on urban components, urban expansion in developing countries has usually been studied using a pixel-based approach, despite the coarse spatial resolution associated with this technique. To understand the residential-scale processes involved in urban expansion, we developed feature-oriented GIS data extracted from very high spatial resolution satellite images (IKONOS for 2000 and Quickbird for 2006 and 2008). We selected a fringe area of Ulaanbaatar, the capital municipality of Mongolia, as a case study. Residential plots in this area have developed in an unplanned manner owing to the poor execution of land reform policy. This study facilitated the residential-scale delineation of the significantly expanding area occupied by private land plots in time series. It also permitted the identification of geographical factors driving the expansion. Using a logistic regression model, we found that such expansion is related to social infrastructure rather than to natural landforms. In particular, new plots of private land tended to be built near pre-existing plots and in proximity to roads and water kiosks (which provide essential drinking water for residents). These findings and the probability map predicted by the model have implications for urban planners and decision makers.

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“…System sets up the shortest path network, path generation set and node consuming set. Starting from sight spot 1 Q , two minimum spanning trees are formed, as Table 3 shows. Take the highest iteration value for example to get the optimal spanning tree and tourism route, as Figure 2 and Figure 3 shows.…”

Section: Algorithm Example Experimentsmentioning

confidence: 99%

Interest Tourism Route Plan Algorithm Based on Improved Minimum Spanning Tree

Zhou¹,

Yang²,

Jiajun³

et al. 2018

dtcse

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Abstract. Currently, tourism route plan lacks of individuality, which can hardly meet the needs of tourists' motive benefits. Aim at the problem, this paper brings forward interest tourism route plan algorithm based on improved minimum spanning tree. Firstly, tourism interest feature model is set up. Based on each influence factor, iteration values on minimum spanning trees of different start sight spots are obtained. Select the spanning tree and route with maximum value as the optimal spanning tree and route. This algorithm can get the optimal tourism route to meet the best motive benefits for tourists, which is feasible and practical.

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The simulation and visualization of complex human–environment interactions

Cited by 27 publications

References 6 publications

Contributions of cultural services to the ecosystem services agenda

Contributions of cultural services to the ecosystem services agenda

Addressing urban expansion using feature-oriented spatial data in a peripheral area of Ulaanbaatar, Mongolia

Interest Tourism Route Plan Algorithm Based on Improved Minimum Spanning Tree

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