Wildlife management and landscape analysis in the GRASS GIS

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Wildlife management and landscape analysis in the GRASS GIS
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Area Data mining Arithmetic mean Data management Graph (mathematics) Integrated development environment Projective plane Mathematical analysis Content (media) Energy level Endliche Modelltheorie Connected space
Predictability Arithmetic mean Computer animation Projective plane Video game Representation (politics) Endliche Modelltheorie Line (geometry) Cartesian coordinate system Evolute Rule of inference
Metre Point (geometry) Randomization Dynamical system Divisor View (database) Image resolution Execution unit Real-time operating system Mass Parameter (computer programming) Theory Formal language Wave packet Exclusive or Internet forum Meeting/Interview Single-precision floating-point format Modul <Datentyp> Convex set Software framework Arrow of time Endliche Modelltheorie Metropolitan area network Form (programming) Social class Predictability Module (mathematics) Complex analysis Graph (mathematics) Information Interface (computing) Stress (mechanics) Parallel port Price index Arithmetic mean Word Digital photography Vector space Universe (mathematics) Order (biology) Video game Website Right angle Pattern language
Length Direction (geometry) Multiplication sign Combinational logic Set (mathematics) Mereology Formal language Inference Multivariate Analyse Ontology Single-precision floating-point format Negative number Endliche Modelltheorie Information security God Decision tree learning Pattern recognition Block (periodic table) Moment (mathematics) Feedback Sound effect Parallel port Bit Arithmetic mean Binary tree Exterior algebra Process (computing) Vector space Internet service provider Order (biology) Right angle Figurate number Quicksort Resultant Metre Slide rule Implementation Connectivity (graph theory) Virtual machine Event horizon Wave packet Number Prototype Population density Lecture/Conference Internetworking Authorization Curve fitting Form (programming) Projective plane Vector potential Particle system Word Uniform resource locator Computer animation Integrated development environment Personal digital assistant Network topology Collision
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use of the final language we have chosen to 50 meters length of the person may be move to a new I want to consider in alignment with the deity and potential of the coolest the and other future Internet tractor and that we have considered checking that a provider from answer the of the sport the over the the problem that itself an alternative problems of strength and did not and monitor being number of they call it running in both directions on the wall of the role of the natural this is not the in it is really a graphical association with . 4 training OK then not only the 1 when you have when we have a right the doctor from the feature from for the quality of the blind and mentally blind and we have divided we have divided the models and that unlike the doctor using the and particularly using our languages and they say I feel after recognition vitamin that we have a lot of that for these reasons and put you can see in a model where you cannot of each viable is the a In this block the rather than the future of the devotion of and on positive and negative OK there and we have a user feedback to in right to the doctor this feature the 2nd that was that in multivariate analysis using in particular in the bagging uh and more than that in the bag of binary trees and bagging is not directly shown below aggregation a lot more than that a lot of single model in this case we can use the greedy in many the and classification 3 like a single model and we have agreed a hundred of these single tree the final model derived from a combination all these 100 trees in particular In this slide we can see the results of our model there are people who are often interested in but the road this event currently being shown and pretty what you have seen new document and we have used a training set and inference at work that our model and in their purity increases from if you use the from 1 of tool 103 is an integral in this graphic we can see that increasing security deduction of at here we use a lot more and in there and this OK the we have used our languages for the prototype of the ontologies and then we're going work and then we have used IPR environmental for the extracted these higher order because I need he had environment the environment that can and we have implemented in the implemented 3 and classification trees support vector machine of bagging and boosting combinations in the the 1st was awarded apart from these models need in this figure in Our approach also adopted by our language and this is you this is the relative importance of any particular location and there important sort of the future of depending on their influence the respective to the precipitation was most important future rewards that practical outcomes and the other the 2nd 1 will be the last from by them and that work toward a density here on the God that the understanding of the In the area OK From the example we had if properly to the every models for for the time being with 29 yeah are very easily during model fitting by applying the better than bagging and the model and the color from green to red blue yellow indicate increasing provided the authority to make that will we can see a particular was owned by the so in particular when the Monday so that and this is the only the and the road you will on Monday so as we go along but what the portal and the day that then there is a market that we have directly from modeled by the moment learned it about the conclusion that we have 2 important tool blocked or a little bit of money and they are the reason that are important for the the have of believe that there sponsoring this project and other things in mind but the intensity marker arguably politically shown model and the real smart In other words would the was important for this because it wasn't because our new model is central to get particles but the collider experiments that I get environment then we will have to and a lot of people for connected graphs who are languages and for the top of for of processes for classifying and not much personal classification the for diversification part of our future with the implementation of effective means Europe on the territory already negation including the landscape ecology future in the model and and that the shown to the people with really children for parallel the In another form of our OK the nation kind last