Sentence examples for spatial valuation from inspiring English sources

Planners and decision makers seek spatial valuation data, comprehensive examples of which are few or hindered by sectoral research traditions.

Three key steps of spatial valuation for agricultural products, forest products, and tourism services were illustrated in the GIS-based technical framework.

We use a spatially explicit valuation design to account for the spatial heterogeneity of preferences to help generate lower transfer errors.

We present a case of linking land use to multimethod spatial ecosystem service valuation aiming at comprehensiveness and commensurability, based on a project run parallel to regional land-use planning in the Tampere region, Finland.

Knowledge of spatial heterogeneity in valuation of the use of forest services can help to design market-based instruments by identifying highly valued areas for environmental services programs and carbon markets.

Thus, in a case study we try to shed light on the welfare economic aspect of FIT by combining spatial modelling and economic valuation of landscape externalities of wind turbines.

We use a multilevel approach to estimate a hedonic model in order to benefit from the hierarchical structure of the data and to reveal spatial heterogeneity in the valuation of these neighborhood qualities.

While the spatial and economic quantification and valuation of ecosystem services is becoming increasingly recognised as a way to communicate the importance of ecosystem conservation, little attention has been given to cultural services of the landscape.

Improved knowledge of spatial variation in carbon stocks, ideally at the hectare resolution, will enhance policies that seek to incentivize conservation and climate change mitigation through carbon valuation.

Land use maps of (1 5000) were calibrated and coded in ARCMAP 9.2 (ESRI 2013) for the subsequent spatial analysis and ecosystem services valuations.

Choice of valuation methods shifts the spatial configuration and magnitude of the socially optimal N application rates illustrating the importance of valuation method and assumptions.