A promising approach to environmental assessment and decision making analyses is based on integrating Multicriteria Decision Analysis (MCDA) and GIS tools. Integration of GIS and MCDA tools can be potentially achieved through interoperability, where these tools can exchange relevant information to tackle a particular environmental problem. However, the problem of semantic heterogeneity caused b...

Maps are often used as decision support tools in both, desktop geographic information systems (GIS) and mobile GIS environments. The decision support capabilities of current location-based services (LBS) are limited to navigation support and database querying with no analytic evaluation of the attractiveness of alternative destinations being offered. This chapter demonstrates how LBS can be ext...

GIS-based Multicriteria Decision Analysis (GIS-MCDA) provides a rich collection of techniques and procedures for landslide susceptibility mapping. In this study landslide susceptibility was evaluated by applying different analytical GIS techniques based on Ordered Weighted Averaging (OWA) criteria. The OWA-MCDA is complemented by a Monte Carlo Simulation (MCS) and a Dempster-Shafer Theory (DST)...

While the integration of Geographical Information Systems (GIS) and Multicriteria Decision Aiding (MCDA) has attracted increasing interest from researchers in recent years, due to the wide array of applications that can benefit from GIS as well as the different types of decision problems and various models that can be used through MCDA, plenty of opportunities of integrating GIS and MCDA remain...

GIS multicriteria decision analysis (MCDA) methods are increasingly being used in landslide susceptibility mapping for the prediction of future hazards, decision making, as well as hazard mitigation plans. However, the uncertainties associated with MCDA techniques are inevitable and model outcomes are prone to multiple types of uncertainty. In this paper, the spatiality explicitly method is emp...

Important and complex spatial decisions, such as allocating land to development or conservationoriented goals, require information and tools to aid in understanding the inherent tradeoffs. They also require mechanisms for incorporating and documenting the value judgements of interest groups and decision makers. Multiple-criteria decision analysis (MCDA) is a family of techniques that aid decisi...

Building consensus over the set of alternative solutions in a spatial decision making process promotes the sustainability, stability and longevity of spatial decisions. Web-based GIS–MCDA (Multicriteria Decision Analysis) facilitates consensus-building in the process of spatial decision making. The level of consensus among decision makers in the Web-based GIS–MCDA can be influenced by various d...

Geographic information science (GIS) and multicriteria decision analysis (MCDA) disciplines combine to provide valuable insights which guide decision-makers evaluating complex spatial criteria and alternatives, especially when there are conflicting stakeholder values and objectives. Although GIS and MCDA methods have been integrated to support forward-looking decision analyses, there is also ad...

This paper presents an application of the integration between Geographical Information Systems (GIS) and Multi-Criteria Decision Analysis (MCDA) to aid spatial decisions. We present a hypothetical case study to illustrate the GIS–MCDA integration: the selection of the best municipal district of Rio de Janeiro State, Brazil, in relation to the quality of urban life. The best municipal district i...

The GIS-multicriteria decision analysis (GIS-MCDA) technique is increasingly used for landslide hazard mapping and zonation. It enables the integration of different data layers with different levels of uncertainty. In this study, three different GIS-MCDA methods were applied to landslide susceptibility mapping for the Urmia lake basin in northwest Iran. Nine landslide causal factors were used, ...