Search Results - subject:"MaxEnt"

Winescape perception and big data analysis: An assessment through social media photographs in the Chianti Classico region

Sottini, Veronica Alampi; Barbierato, Elena; Bernetti, … - In: Wine Economics and Policy 8 (2019) 2, pp. 127-140

Quantifying and mapping the relevant landscape attributes of winescape is difficult due to both the complex identity characterization of the places and the multidimensionality of the pursued perceptive experience on the emotional level. Although the quality of the rural landscape is recognized...

Persistent link: https://www.econbiz.de/10014485176

Winescape perception and big data analysis : an assessment through social media photographs in the Chianti Classico region

Sottini, Veronica Alampi; Barbierato, Elena; Bernetti, … - In: Wine Economics and Policy 8 (2019) 2, pp. 127-140

Persistent link: https://www.econbiz.de/10012139177

Use of maximum entropy in estimating production risks in crop farms

Kevorchian, Cristian; Gavrilescu, Camelia - 2015

aversion is difficult to quantify, it is preferable to use the MaxEnt model as a quantitative benchmark in assessing and … of the production risk based on the MaxEnt model utilization makes it possible to evaluate the production risk and the …

Persistent link: https://www.econbiz.de/10011689173

Use of maximum entropy in estimating production risks in crop farms

Kevorchian, Cristian; Gavrilescu, Camelia - In: Agrarian economy and rural development : realities and …, (pp. 142-147). 2015

Persistent link: https://www.econbiz.de/10011456108

Predicting Potential Invasive Species Distribution: An Application to New Zealand Mudsnails in the Pacific Northwest

Lim, Youngah; Gopinath, Munisamy; Chan, Samuel; Harte, … - Agricultural and Applied Economics Association - AAEA - 2011

Quantitative approach for invasive species risk assessment

Persistent link: https://www.econbiz.de/10009021226