. . . "Create environmental niche models."@en . . "Create environmental niche models."@en . . . "Synthesize climate model output to use it in environmental niche models."@en . . "Synthesize climate model output to use it in environmental niche models."@en . . . "Create a relevant database for modelling."@en . . "Create a relevant database for modelling."@en . . . "Evaluate how environmental niche models integrate with policy relating to sustainable landscapes."@en . . "Evaluate how environmental niche models integrate with policy relating to sustainable landscapes."@en . . . "Evaluate the accuracy of models."@en . . "Evaluate the accuracy of models."@en . . . "Apply ecological theory related to biogeography and species distributions."@en . . "Apply ecological theory related to biogeography and species distributions."@en . . . "Analyse a species relation to environmental parameters."@en . . "Analyse a species relation to environmental parameters."@en . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "The Master’s Programme Geo-Information Science and Earth Observation (M-GEO) is a two-year academic curriculum at MSc level, taught fully in English, dedicated to understanding the earth’s systems from a geographic and spatial perspective. The field of Geo-information Science and Earth Observation has, in recent years, witnessed fast scientific and technological developments. As a result, geographic information has become a vital asset to society and part of our daily life. The ubiquitous production and availability of spatial data require cloud computing and new technology to turn the increasing volume of ‘big data’ to good use. The growing range of global challenges, from climate change and resource depletion to environmental pollution and pandemic diseases, that our society and in particular the more vulnerable populations on our planet are facing, increases the demand for academic professionals who have the ability, attitudes and skills to design solutions that are sustainable, transdisciplinary and innovative with positive societal impacts. Our education focuses on addressing these global problems by means of advanced geo-information and earth observation applications."@en . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . "Master’s Programme Geo-Information Science and Earth Observation (M-GEO)"@en . . . . "Course"@en . "201800300" . "NRS_0008" . "7"^^ . "196"^^ . "10"^^ . "2023-07-06T22:00:00Z"^^ . "f2f" . "The first part of the course (60%) will be face-to-face teaching and supervised practical’s to acquire knowledge on relevant theories and learn how to apply these in a practical way. This will be assessed in a written test, and partly by the individual project making up.\n\nIn the second part of the course, two small projects (one individual and one group) will train the student to place the learned techniques and theories into context. This will be student centered learning. The student has a choice of the type of species and or environment that wil be modellend. Also, the student has a choice in a type if (mini) research question that will be addressed in the mini project. The individual project (25%) tests the ability to create and evaluate ENM’s for a specific case study of interest for the student. In the group project (15%), the use of ENMs has to be placed in the context of Essential Biodiversity Variables (EBVs), sustainable agricultural, semi-natural and protected area landscapes, or information needs for policy applications (SDGs, Aichi targets). In the group, model outputs created in the individual project will be used as input for the evaluation how these can be used in either of these contexts."@en . "GIS and Remote sensing skills Basic understanding of regressionBasic understanding of inferential statistics (ANOVA, T test etc),GIS and Remote sensing skills\nBasic understanding of regression\nBasic understanding of inferential statistics (ANOVA, T test etc)"@en . "6"^^ . "4" . "2B " . "2023-04-23T22:00:00Z"^^ . "Species distribution modelling and environmental niche modelling are types of modelling where the occurrence or absence of certain species or crops are linked to environmental conditions that are relevant. The type of organism that is modeled can be variable in nature, ranging from the presence of rare and endangered species, to the outbreak of pest species.\n\nIt is used to make interpolations of observations of species over space using relevant explanatory variables. These extrapolations can be used to assess how likely the occurrence of such an species is in unvisited areas. Also, it can provide insight to what extent the spatial distribution of a species will change as a result of changes in conditions, for example due to land cover change, or climate change.\nExtrapolations are based on fitting an empirical relation between the presence or absence of a species and the environmental conditions under which it occurs, it’s “niche”.\n\nIn this course students will learn hands on how to design, create and evaluate different kinds of environmental niche models (such as logistic regression, boosted regression trees and maximum entropy) and you will learn how you can use these models to make projections when conditions change.\n\nThe course is of interest to people that need statistical interpolation techniques. Also, the course will teach you to apply different types of software packages. Next to geo-information software you will be working with the R-software.\n\nThis course mainly aims at applications in the domain of natural resources, but when you have an interest in in other domains where this can be applied (e.g. disease outbreaks or rare events such as landslides) this course can also be very useful for you and there will be room to explore the application to your area of interest."@en . "Species Distribution & Environmental Niche Modelling"@en . "Species Distribution&Env Niche Modelling"@en . "Species Distribution&Env