Integration of land and water resources, environmental characteristics, and aquaculture policy regulations into site selection using GIS based spatial decision support system

Spatial planning for forthcoming shrimp farming in southern coast of Brazil: a tool to coastal management

“…In addition, the product must also meet the requirements of the Quality and Food Safety Management System (SGQSA). And so, the information obtained from remote sensing data at different levels of geoprocessing, which describe the physical, biological, Caldieraro GV, Salgado LHS, Landuci FS geographic, hydrochemical, socioeconomic and infrastructural aspects, are extremely useful, in a way to guarantee an increase in productivity, as well as the preservation of areas sensitive to possible environmental impacts (Jayanthi et al, 2022).…”

“…Identifying the criteria is a fundamental step in the process of selecting places where shrimp farming will be implemented. Thus, relevant criteria were identified based in the literature review and experts' opinion, taking into account information on environmental, socioeconomic, production quality, marketing, monitoring practices, in addition to licensing and regulation processes (Freitas et al, 2011;Ribeiro et al, 2014;Calle Yunis et al, 2020;Dhar et al, 2020;Dorber et al, 2020;Jayanthi et al, 2020;Morshed et al, 2020;Fonseca and Mendonça, 2021;Jayanthi et al, 2022).…”

“…To further improvement of the model, future local analyses of soil texture, granulometry, pH and organic matter; meteorological characteristics, such as precipitation and evaporation rates; and water bodies characteristics such as river carrying capacity, will allow the identification of the most favorable locations for the implementation of cultivation even more accurately (Senar, 2017;Valenti et al, 2018;Jayanthi et al, 2022).…”

An intelligent web-based spatial group decision support system to investigate the role of the opponents’ modeling in urban land use planning

“…In fact, the change concerns the democratic management and control of urban and regional planning (Harris, 2002). Over the last three decades, different computer-aided tools have been introduced to support collaborative planning, such as Planning Support Systems (PSS), Spatial Decision Support Systems (SDSS) (Jayanthi et al, 2022), Group Decision Support Systems (GDSS), Intelligent Decision Support Systems (IDSS) (Ghavami et al, 2017), Geo-dynamic decision support system (Kazak et al, 2017), Collaborative Spatial Decision Making Systems (CSDMS) (Jankowski and Nyerges, 2001) and E-negotiation Systems.…”