A method for landscape regionalization based on fuzzy membership signatures

Hall, Ola; Arnberg, Wolter

doi:10.1016/s0169-2046(02)00050-6

Cited by 34 publications

(15 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Comparative correlograms of soil and land use give a good visual overview of different landscapes and whether or not human activity has homogenized potential landscape (soils). Likewise, there are several modelling attempts to predict vegetation cover pattern based on topographical data, soil conditions, and (micro)climatic conditions (Davis and Goetz, 1990;Bolstad et al, 1998;Brown et al, 1998;Burrough et al, 2001;Shoshany, 2002;Dymond and Johnson, 2002;Palo et al, 2004) and using fuzzy systems theory (Roberts, 1996;Burrough et al, 2001;Hall and Arnberg, 2002), patch-based spatial modelling (Wu and Levin, 1997), overlay analysis (Tappeiner et al, 1998;Palo et al, 2005), and artificial neural networks (Hilbert and Ostendorf, 2001). These demonstrate that the relationship between the vegetation pattern and biophysical and anthropogenic landscape factors can have strong regional character.…”

Section: Discussionmentioning

confidence: 99%

Coherence and fragmentation of landscape patterns as characterized by correlograms: A case study of Estonia

Mander

Uuemaa

Roosaare

et al. 2010

Landscape and Urban Planning

View full text Add to dashboard Cite

Section: Discussionmentioning

confidence: 99%

Coherence and fragmentation of landscape patterns as characterized by correlograms: A case study of Estonia

Mander

Uuemaa

Roosaare

et al. 2010

Landscape and Urban Planning

View full text Add to dashboard Cite

“…Suggestions for ecological protection. It is generally believed that the environmental regionalization should focus on the natural boundaries evolved from a long period of natural environment changes rather than the administrative boundaries (Hall & Arnberg 2002). So, based on the evaluation results of ecological security, we divided the studied area into four protected regions considering natural boundaries as shown in Figure 14.…”

Section: The Regional Characteristics Of Ecological Securitymentioning

confidence: 99%

Evaluation and analysis of post-seismic restoration of ecological security in Wenchuan using remote sensing and GIS

Cao

Yang

et al. 2015

Geomatics, Natural Hazards and Risk

View full text Add to dashboard Cite

(2016) Evaluation and analysis of post-seismic restoration of ecological security in Wenchuan using remote sensing and GIS, Geomatics, Natural Hazards and Risk, 7:6, 1919-1936, DOI: 10.1080/19475705.2015 ABSTRACTAiming at studying the ecological security in Wenchuan, China, where the ecological system had been greatly damaged by the earthquake in 2008, an evaluation indicators system was established based on the pressureÀstateÀresponse (PSR) model, and the indicators were derived from remote sensing images, meteorological data, and statistical data. Ecological security indexes in 2007, 2008, and 2013 were calculated through a comprehensive index method. Then the spatio-temporal analysis on ecological security was conducted. Particularly, the changes of ecological security were centrally analyzed concerning topography, land use types, vegetation coverage, as well as ecological PSR. It is found that the ecological security in Wenchuan presented a distinct vertical-belt distribution. It was damaged by the earthquake, however, it had been improved obviously by 2013, which still did not reach the level in 2007. Meanwhile, the epicentre, the Minjiang River and the southwestern mountains have typically regional characteristics, where the changes of ecological security were analyzed elaborately. The ecological security of these regions had been differently restored compared with 2007. However, there were still some regions with unsafe ecological security. Finally, the studied area was divided into four regions with different protection strategies and some recommendations were provided for further ecological protection.

show abstract

“…Further hybridization of knowledge based and AI systems to provide for urban development alternatives and evaluation of urban development was done by (Feng and Xu, 1999b;Feng and Xu, 1999a). Recently fuzzy systems have been used in landscape regionalization (Hall and Arnberg, 2002), urban design (Xirogiannis et al, 2004) and accessibility to urban services (Thériault et al, 2005). Also addressed are the areas of transport management (Zhang et al, 2007) and accessibility optimization (Da Silva and De Almeida, 2007).…”

Section: Fuzzy Logic In Urban Planning and Decisionmentioning

confidence: 99%

Fuzzy Logic Based Built Environment Impact Assessment for Urban Regeneration Simulation

Yusuf

Georgakis

Nwagboso

2009

2009 Second International Conference in Visualisation

View full text Add to dashboard Cite

Integration and adaptation of artificial intelligent designs with fuzzy inference techniques is an active area of research that can be used to meet the challenges of regeneration processes. Urban regeneration activities in built environment are complex and require a close collaboration between designers and planners in order to achieve a design plan that is environmentally robust and sustainable. Regeneration teams' inability to manually analyze complex maps for various regeneration choices induces human errors in the regeneration process. This often results in a prolonged impact on the economic, social and environmental wellbeing and sustainability of the region. This paper, presents the development of an urban regeneration fuzzy inference system (FIS) aimed at tackling the issue of regeneration simulation in built environment through the measurement of impact of certain socioeconomic parameters to the regeneration plan. The impact assessment logic is embedded in the form of an expertly guided rule-base of an FIS. The impact is calculated using the four core principles of urban smart growth (crime, accessibility, employment and health), with respect to a measure of Euclidean intra-regional distance based accessibility function between the regeneration area(s) and the surrounding built environment neighborhood. The FIS evaluates the suitability of various regeneration subareas in terms of the aforementioned four principles affecting the concept of a walk-able, sustainable and eco-friendly neighborhood.

show abstract

A method for landscape regionalization based on fuzzy membership signatures

Cited by 34 publications

References 12 publications

Coherence and fragmentation of landscape patterns as characterized by correlograms: A case study of Estonia

Coherence and fragmentation of landscape patterns as characterized by correlograms: A case study of Estonia

Evaluation and analysis of post-seismic restoration of ecological security in Wenchuan using remote sensing and GIS

Fuzzy Logic Based Built Environment Impact Assessment for Urban Regeneration Simulation

Contact Info

Product

Resources

About