Species Distribution Modelling - spatial-analyst.net pecies Distribution Model (SDM) can be defined as a statistical/analytical algorithm that predicts either actual or potential distribution of a species, given field observations and auxiliary maps, as well as expert knowledge. A special group of Species Distribution Models (SDMs) focuses on the so-called occurrence-only records --- pure records of locations where a species occurred (Engler at al. 2004; Tsoar et al. 2007). This article describes a computational framework to map species' distributions using occurrence-only data and environmental predictors. For this purpose, we will use the dataset "bei", distributed together with the spatstat package, and used in school books on point pattern analysis by Baddeley (2008) and many other authors. To run this script, you will need to obtain some of the following packages. For more details about this topic consider obtaining the original article: Hengl, T., Sierdsema, H., Radovic, A., Dilo, A., 2009? Preparation of maps Final predictions
The 5th Bio-logging Science Symposium - Strasbourg 22-26 Sep 2014 - SciencesConf.org Important dates - 30 Sep 2013 : Workshop submission Closed- 31 Mar 2014 : Abstract submission Closed - 20 Apr 2014: Early registration Soon! 21 Apr 2014 - : Late registration 22-27 Sep 2014 : Symposium Abstract submission Log in with your account and go to My Space > Submission. Presentations Instructions for oral presentations will follow shortly.The size of the poster board is 0.94 (width) x 2.39 (height) m. Registration fees Early (Nov 2013 - Mar 2014): Standard 320 euros / Student 190 euros Late (Apr 2014 - Jul 2014): Standard 360 euros / Student 230 euros Fees include documentation, lunches, coffee breaks, icebreaker, social event and banquet. Accompanying person: 200 euros (Fees include lunches, coffee breaks, icebreaker, social event and banquet) Please follow this link for payment. This will take you to a CNRS-secure payment system called Azur Colloques, where you will need to pre-register once more. WARNING: Exhibitors, please don't use this link to pay. Venue Organizing Committee
International Statistical Ecology Conference 2014 - Montpellier 1-4 Jul 2014 - SciencesConf.org Science Daily: News & Articles in Science, Health, Environment & Technology High Resolution Figures in R | Daniel J. Hocking As I was recently preparing a manuscript for PLOS ONE, I realized the default resolution of R and RStudio images are insufficient for publication. PLOS ONE requires 300 ppi images in TIFF or EPS (encapsulated postscript) format. In R plots are exported at 72 ppi by default. I love RStudio but was disappointed to find that there was no options for exporting figures at high resolution. PLOS ONE has extensive instructions for scaling, compressing, and converting image files to meet their standards. Even if scaling up from a low resolution PDF would work, it would be better to have a direct solution in R. [UPDATE: In the original post, I wrote about my trial and error when first trying this out. If you need to use a font not included in R, such as the Arial family of fonts for a publisher like PLOS, the extrafont package is very useful but takes a long time to run (but should only have to run once – except maybe when you update R you’ll have to do it again). [ORIGINAL POST Follows] Like this:
distance {argosfilter Great circle distance between geographical coordinates Description Function distance calculates the distance, in km, between two geographical locations following the great circle route. Function distanceTrack calculates the distance, in km, between a sequence of locations. Usage distance(lat1, lat2, lon1, lon2) distanceTrack(lat,lon) Arguments lat1 latitude of the first location, in decimal degrees lat2 latitude of the second location, in decimal degrees lon1 longitude of the first location, in decimal degrees lon2 longitude of the second location, in decimal degrees lat vector of latitudes, in decimal degrees lon vector of longitudes, in decimal degrees Details Distances are calculated using spherical trigonometry. Values distance returns the distance between the two locations. distanceTrack returns a vector of distances between the sequence of locations. References Zwillinger D. (2003) Standard Mathematical Tables and Formulae, 31st edition. Examples
Graphical Parameters You can customize many features of your graphs (fonts, colors, axes, titles) through graphic options. One way is to specify these options in through the par( ) function. If you set parameter values here, the changes will be in effect for the rest of the session or until you change them again. The format is par(optionname=value, optionname=value, ...) # Set a graphical parameter using par() par() # view current settings opar <- par() # make a copy of current settings par(col.lab="red") # red x and y labels hist(mtcars$mpg) # create a plot with these new settings par(opar) # restore original settings A second way to specify graphical parameters is by providing the optionname=value pairs directly to a high level plotting function. # Set a graphical parameter within the plotting function hist(mtcars$mpg, col.lab="red") See the help for a specific high level plotting function (e.g. plot, hist, boxplot) to determine which graphical parameters can be set this way. Text and Symbol Size Lines Colors
Interaction plot. / Graphiques. / Aide mémoire R. Aide-memoire-R > Graphiques > Interaction-plot Objectif : on cherche à étudier comment varie une variable numérique en fonction d'un facteur pour différentes valeur d'un deuxième facteur. fr <- data.frame(fact1 = c("a", "b", "a", "b", "a", "b"), fact2 = c("A", "A", "A", "B", "B", "B"), val = c(10, 20, 12, 15, 25, 18)) interaction.plot(fr$fact1, fr$fact2, fr$val) trace un graphe d'interaction montrant la moyenne de val en fonction des valeurs de fact1, avec une courbe pour chaque valeur de fact2. Paramètres :
ConservationBytes.com | Conservation research… with bite Accueil - Especes Stronger Shark Finning Ban Endorsed by European Parliament Conservation groups are celebrating today’s European Parliament vote to close loopholes in the European Union ban on shark finning (slicing off a shark’s fins and discarding the body at sea), the culmination of six years of campaigning and debate. We owe so much of our success to the tens of thousands of divers across Europe and beyond who voiced their concern for sharks” Suzanne Pleydell, Project AWARE Director Members of the European Parliament voted overwhelmingly in favor of the European Commission’s proposal to impose the best practice for finning ban enforcement: a prohibition on removing shark fins at sea. “Parliament’s overwhelming support for strengthening the EU finning ban represents a significant victory for shark conservation in the EU and beyond,” said Ali Hood, Shark Trust Director of Conservation. Parliament’s final report now goes to the EU Council of Ministers and Commission as part of the process to finalize the regulation.
Currents - MyOcean Why measure currents? By transporting heat and energy, ocean currents play a major role in shaping the climate of Earth’s many regions. Surface currents (restricted to the upper 400 m of the ocean) are generally wind-driven and develop their typical clockwise spirals in the northern hemisphere and counter-clockwise rotation in the southern hemisphere (for warm currents). Deep ocean circulation is the result of a number of factors including temperature and salinity variations in water masses, shorelines, subsurface topography, tides, etc. Some of the most well-known currents include the Gulf Stream in the Atlantic and the Kuroshio in the Pacific. Warm surface currents invariably flow from the tropics to the higher latitudes, driven mainly by atmospheric winds, as well as the earth's rotation. Currents known as upwelling also bring bring cold, nutrient-rich water from the depths up to the surface. How are they measured? By satellite In situ techniques Numerical models
BloomWatch 360 OTHER REGIONS AND OTHER COASTWATCH BROWSERS The GET queries on this web page only work for the regions and data sets served by this browser (the BloomWatch 360). For other data sets and other regions, please visit: A browser for the West Coast of the U.S. and Mexico: CoastWatch Browser, A browser for Alaska: CoastWatch Alaska Browser, A browser for the entire world (longitude -180° to 180°): BloomWatch 180, A browser for South America: CoastWatch South America Browser, An ERDDAP for the entire world: ERD's ERDDAP Server, A THREDDS server for the entire world: ERD's THREDDS Server, An LAS for the entire world: OceanWatch, Other CoastWatch Regional Nodes, Or the national CoastWatch web site. FOR MORE INFORMATION See the full documentation for this web page. USAGE LIMITATIONS The SeaWiFS images and data from this site may be used for free, but not redistributed; all other images and data from this site may be used and redistributed for free.
July | 2012 Lifeguards prepare for another day of keeping swimmers safe on Brigantine. (NOAA) Imagine your first trip to the ocean: walking along a sandy beach, listening to the sounds of waves and shorebirds, appreciating the smell of salt in the wind. My family vacationing on Brigantine in the 1960s. I still return to the same beach in Brigantine, New Jersey, which I visited every year as a child. With all of this in mind during my annual visit there last week, I looked at the Jersey shore with new eyes. A little girl takes tentative steps into the surf while holding on to mom’s hand. Brigantine is only one of the many small ocean communities that generations of Americans look forward to visiting along our coasts each year. Uninhabited by humans, the refuge is composed of sand dunes, maritime forest, and tidal marsh. A young girl goes surf fishing with her father in the early evening. What does NOAA do to protect coastal areas like this around the country? Like this: Like Loading...