Discover open access scientific publications

Search, annotate, share and cite publications

Publications by Iain C Prentice

Global Mapping of Potential Natural Vegetation: An Assessment of Machine Learning Algorithms for Estimating Land Potential

English

Related publications

Estimating Water Consumption of Potential Natural Vegetation on Global Dry Lands: Building an LCA Framework for Green Water Flows

Environmental Science & Technology

Environmental Chemistry

English

Geological Mapping Using Machine Learning Algorithms

ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

English

Development of a Machine Learning Potential for Graphene

Physical Review B

Condensed Matter Physics

Magnetic Materials

English

Qualitative Land Suitability Assessment and Estimating Land Production Potential for Main Irrigated Crops in Northern of Fars Province

Poljoprivreda i Sumarstvo

Landscape Conservation

English

Assessment of Algorithms for Computing Moist Available Potential Energy

Quarterly Journal of the Royal Meteorological Society

Atmospheric Science

English

Natural Forest Mapping in the Andes (Peru): A Comparison of the Performance of Machine-Learning Algorithms

Planetary Sciences

English

Estimation of Potential Natural Vegetation by Means of GIS

Journal of the Japanese Institute of Landscape Architects

English

An Easy Method of Estimating Potential Evapotranspiration

Kansas Agricultural Experiment Station Research Reports

English

Types of Machine Learning Algorithms

English