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Computational Ecology is an interdisciplinary research field that aims at understanding complex ecological and evolutionary processes. The research is based on, preferably, large amounts of empirical data and relies on advanced computational methods, mathematical and statistical models with the aim to better describe and understand what characterises ecological processes. The projects in our lab are embedded in three areas: "movement ecology", "biodiversity and conservation" and "macroevolution". M Wegma...

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Home | computational-ecology.com Reviews

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Computational Ecology is an interdisciplinary research field that aims at understanding complex ecological and evolutionary processes. The research is based on, preferably, large amounts of empirical data and relies on advanced computational methods, mathematical and statistical models with the aim to better describe and understand what characterises ecological processes. The projects in our lab are embedded in three areas: movement ecology, biodiversity and conservation and macroevolution. M Wegma...

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1 lab members

2 kamran safi

3 jessica schnell

4 bart kranstauber

5 scott lapoint

6 mariëlle van toor

7 anne scharf

8 marco smolla

9 alexandra bell

10 projects

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lab members,kamran safi,jessica schnell,bart kranstauber,scott lapoint,mariëlle van toor,anne scharf,marco smolla,alexandra bell,projects,r package move,updates,downloads,teaching,weekly r sessions,r for biologists,rfb i,computational ecology lab,the book

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Home | computational-ecology.com Reviews

https://computational-ecology.com

Computational Ecology is an interdisciplinary research field that aims at understanding complex ecological and evolutionary processes. The research is based on, preferably, large amounts of empirical data and relies on advanced computational methods, mathematical and statistical models with the aim to better describe and understand what characterises ecological processes. The projects in our lab are embedded in three areas: "movement ecology", "biodiversity and conservation" and "macroevolution". M Wegma...

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computational-ecology.com

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Updates

http://www.computational-ecology.com/main-move/main-updates.html

Move 1.0 avaiable on CRAN. We successfully published the move package at the popular R repository CRAN. Installing the most current and stable version of move is now much easier. The command. Directly downloads the package from CRAN. And this is our brand new CRAN webpage:. Http:/ cran.r-project.org/web/packages/move/index.html. We hope that the publication on CRAN makes the package accessible to even more user. Move2ade allows to use adehabitatHR functions. Of the adehabitatHR package. We implemented th...

2

R for Biologists

http://www.computational-ecology.com/teaching/main-rbio.html

As biologists we are more and more confronted with problems that are not exactly of biological nature (if such problems ever existed). The sheer amount of data in molecular biology that commonly research teams in this field are facing is paralleled by the growing amount of ecological data. And as the advances in genomics and molecular biology forced the emergence of a new discipline of bio-informatics, ecology still anticipates such a transformation. General suggestions and non-specific code:. Here we de...

3

Marco Smolla

http://www.computational-ecology.com/main-lab/main-marco.html

2012 - : Max Planck Institute for Ornithology. Research assistant. Creating an open source R package for movement analysis. 2012: University of Konstanz. Research assistant. Project on "Nest-temperature regulation in. 2011 - 2012: MSc in Biology Brood-temperature regulation in bumblebee colonies. Pick your 5 most favourite publications, the rest will get an extra section]. Max Planck Institute for Ornithology.

4

Scott LaPoint

http://www.computational-ecology.com/main-lab/scott-menu.html

2007-2008 Fisher ecology project, Hoopa California. 2007 M.S. in Conservation Biology, State of New York College of Environmental Science and Forestry, advisor: Mark Lomolino. 2002 Lab technician for New York State Museum. 2001-2002 Field manager for the Wildlife Conservation Society, Adirondack Carnivore Project. 2001 Project coordinator for the Adirondack Park Agency, Saranac Lake, New York. 2001 B.S. in Natural Resource Policy and Management, Paul Smiths College. Max Planck Institute for Ornithology.

5

Bart Kranstauber

http://www.computational-ecology.com/main-lab/main-bart.html

2008-2009 Data standards development for animal movement data, MPI for Ornithology, Germany. Oct 2008 MSc in Topmaster Evolutionary Biology, University of Groningen, The Netherlands. Sep 2006 BSc in Biology, Leiden University, The Netherlands. My research focuses on animal movement; I'm looking for environmental and internal factors influencing how and where animals move. This includes changes from breeding to migratory movements and the influence of wind on migrations. Methods in Ecology and Evolution.

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animove.org

Members | AniMove

http://animove.org/members

Animal movement and remote sensing for conservation. Is a collective of international researchers with extensive experience in these topics and interested to teach intensive training courses for studying animal movement by incorporating remotely sensed environmental data for the application within conservation. Computational Ecology, movement analysis). MPI-O — contact: firstname.lastname AT animove.org. Martin Wegmann (remote sensing). Chris Fleming (Computational Ecology, movement analysis).

animove.org

2013 – MPI | AniMove

http://animove.org/courses/2013-mpi

Animal movement and remote sensing for conservation. 2013 – MPI. The Summer School AniMove is taking place at MPI in Radolfzell, Germany in 2013. This school is organised by K. Safi, N. Pettorelli and M. Wegmann and lectured jointly with international colleagues. It is financially supported by the Global Change Ecology program as well as IMPRS. Picture gallery (to be added soon). Time-table for the first week:. Introduction to R (indexing, loops, etc.). Lecture: Spatial environmental data. 8pm: Thomas Br...

remote-sensing-biodiversity.org

CEOS Biodiversity | Remote Sensing for Biodiversity & Conservation

http://remote-sensing-biodiversity.org/networks/ceos-biodiversity

Remote Sensing for Biodiversity and Conservation. Information about workshops, conferences, publications and data portals. Committee on Earth Observation Satellites (CEOS). Group on Remote Sensing for Biodiversity and Conservation (CEOS Biodiversity). The group on Remote Sensing for Biodiversity within CEOS. The CEOS Biodiversity activities are part of the overall CEOS. Several issues are targeted by CEOS Biodiversity:. Identify needs and shortcomings of Earth Observation for Biodiversity and Conservation.

remote-sensing-biodiversity.org

CEOS Biodiversity | Remote Sensing for Biodiversity & Conservation

http://remote-sensing-biodiversity.org/ceos

Remote Sensing for Biodiversity and Conservation. Information about workshops, conferences, publications and data portals. Committee on Earth Observation Satellites (CEOS). Group on Remote Sensing for Biodiversity and Conservation (CEOS Biodiversity). The group on Remote Sensing for Biodiversity within CEOS. The CEOS Biodiversity activities are part of the overall CEOS. Several issues are targeted by CEOS Biodiversity:. Identify needs and shortcomings of Earth Observation for Biodiversity and Conservation.

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65288;ほぼ）任意のパラメトリック曲線を、いた材を曲げることで. Http:/ web.sfc.keio.ac.jp/ t08189to/eee. 12300;曲線はなぜスプライン関数でないのか？」. スプライン関数は、あるspline flatという、弾性のある. Http:/ sputnik19571103.web.fc2.com/spline.pdf. Http:/ en.wikipedia.org/wiki/Gauss' principle of least constraint. しかし、スプライン関数を利用すれば、制御点（B-スプラインで実装する. 場合は、固定点（knots））がそのまま、固定すべき点になるという. Http:/ web.sfc.keio.ac.jp/ t08189to/picpic. かもしれません。（写真は試作）. 12539;fabricationにつなげるための単位、マス目、図面の生成（微積）を実装. Http:/ demonstrations.wolfram.com/BSplineCurveWithKnots/. 12539;建築系列- achim menges.

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computational-ecology.com

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Computational Ecology is an interdisciplinary research field that aims at understanding complex ecological and evolutionary processes. The research is based on, preferably, large amounts of empirical data and relies on advanced computational methods, mathematical and statistical models with the aim to better describe and understand what characterises ecological processes. The projects in our lab are embedded in three areas: "movement ecology", "biodiversity and conservation" and "macroevolution". M Wegma...

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