A large number of mathematical models have been developed for supporting optimization of land-use allocation; however, few of them simultaneously consider land suitability (e.g., physical features and spatial information) and various uncertainties existing in many factors (e.g., land availabilities, land demands, land-use patterns, and ecological requirements). This paper incorporates geographic information system (GIS) technology into interval-probabilistic programming (IPP) for land-use planning management (IPP-LUPM).

Research was conducted in Selaru Island, West Southeast Moluccas Regency which hasareal 32,217 ha. The purpose of the research was to study land suitability class and directive of land use for developingfood crop and estate plant. The results indicated that Selaru Island was suitable land (S) for upland rice, corn,peanuts, mungbean, sweet potato, calladium, and coconut which had areal of 28,312 ha, 19,330 ha, 19,330 ha, 19,330ha, 19,330 ha, 28,312 ha, and 12,886 ha, respectively.

In Latin America countries, competition for access to natural resources among different groups has been a major reason for the outburst of violence over the last decades. One of the main aims of the political ecology concerns the understanding of the environmental conditions that can underlies the social conflict among people. Such understanding needs to be based on a detailed investigation of the natural resources of the landscape, mainly the soils.

An unprecedented increase in oil palm developments may be underway in Papua New Guinea (PNG) through controversial “special agricultural and business leases” (SABLs) covering over two million hectares. Oil palm development can create societal benefits, but doubt has been raised about whether the SABL developers intend establishing plantations. Here, we examine the development objectives of these proposals through an assessment of their land suitability, developer experience and capacity, and sociolegal constraints.

In this scientific paper are presented the preliminary results of the research having as goal to establish a methodology for the determination of the oenoclimatic potential and its spatial distribution in the viticultural areas. Data were obtained by means of GIS technology and disclosed a new, original model for analysing the viticultural ecoclimate.

The present research aims to obtain a better insight into the agreement between land evaluation results and actual crop spatial distribution by comparing biophysical land suitability with different crop frequency parameters and with crop rotations derived from multi-year crop maps. The research was carried out in the Flumen district (33,000 ha), which is located in the Ebro Valley (Northeast Spain). Land evaluation was based on a 1:100,000 soil survey according to the FAO framework for the main crops in the study area (alfalfa, winter cereals, maize, rice and sunflower).

The viability of commercial potato production is influenced by spatial and temporal variability in soils and agroclimate, and the availability of water resources where supplementary irrigation is required. Soil characteristics and agroclimatic conditions greatly influence the cultivar choice, agronomic husbandry practices and the economics of production.

Land suitability analysis is a prerequisite for successful aquaculture, and site selection affects both the success and sustainability of any aquaculture development. There is an urgent need for appropriate methodology to assist planners for site selection in aquaculture development. Site selection can be viewed as a multi-criteria decision-making (MCDM) problem. The analytical hierarchy process (AHP) is a proven, effective method used to solve problem of site selection.

In this study, we have attempted to develop a land suitability model for saffron, an agronomic crop, which is economically viable, environmentally bearable and socially equitable at Khost Province of Afghanistan. The objective was to determine different land suitability classes for saffron cultivation using Analytical Hierarchy Process (AHP) and Geographic Information System (GIS). A decision tree was developed encompassing the physical, economic and social criteria.

In the Trás-os-Montes Region (Northeastern Portugal), olive tree plantations cover an area of more than 70 thousand ha (near the 6 % of the regional territory), mostly planted and cultivated under traditional non-mechanised cultural systems. It is fully recognised that the olive sector contributes significantly to the regional agro-economy, as well as to the conservation of certain typical landscapes.

That was to perform a determination of land suitability classes for agricultural land uses in Ankara Imrahor valley and vicinity with this study. First of all detailed survey and mapping of research area was performed with aid of satellite data and topographic maps then four different soil serials and their fourteen different mapping units were described. For this units, 38 different land uses were describe as their soil and meterological properties and calculated their suitability for this region and determined and mapping their land suitability classes for agricultural purposes.