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OpenLayers by Rosanne Hessmiller, last updated: Mar 12, 2015 01:58 PM
OpenLayers is a front-end UI library for creating web-based spatial apps using javascript. It supports a variety of layer sources and backends. For example, map tiles can be pulled from GoogleMaps or from a custom tile source. The advantage this brings is that it enables developers to reuse elements such as tile sources, and focus instead on the more unique aspects of their application such as the “business logic”. Default components such as tile sources can easily be swapped out at a later time. It supports bitmap and vector layers, including points, lines and polygons. One of its most widely used features is the ability to overlay data layers on top of base maps. http://openlayers.org
Rose, Levi by Matthew Cimitile, last updated: Mar 12, 2015 11:10 AM
 
Plone Content and Display Choices by Rosanne Hessmiller, last updated: Mar 11, 2015 11:21 PM
Table of Contents, Previous Next Functionality
How to Save a Screenshot of a Webpage by Matthew Cimitile, last updated: Mar 11, 2015 11:21 PM
If you need to save a Web page for later reference, a screenshot will capture the current appearance of the website and allow you to save it as an image. Screenshots are digital images of what you view on your monitor. Both Windows and Macintosh computers have the ability to capture and save screenshots. Macintosh operating systems automatically save the screenshot, while Windows operating systems place the image onto the clipboard so it can be edited through image editing software.
Agenda: Connecticut River Pilot Meeting, 12-19-2014 by mmallek, last updated: Mar 09, 2015 04:40 PM
Agenda, Handouts and Presentation for December 19th Core Team Meeting in Hadley, Massachusetts from 10:00 a.m. to 3:00 p.m.
Document: Notes from 12-19-2014 Core Team Meeting by bmacdonald, last updated: Mar 09, 2015 04:36 PM
Annotated notes with selected screen shots
Kreitler, Ginny by Admin, last updated: Mar 09, 2015 02:22 PM
 
Conservation Planning Atlas by mmallek, last updated: Mar 09, 2015 01:53 PM
Information, Links to Webinars, etc.
Gray, Marcus by Matthew Cimitile, last updated: Mar 09, 2015 01:40 PM
 
Olsen, Lance by Lance Olsen, last updated: Mar 08, 2015 10:09 AM
 
Energy Assessment News Release by Matthew Cimitile, last updated: Mar 05, 2015 10:44 AM
A new study and online mapping tool by the Appalachian Landscape Conservation Cooperative (LCC) and The Nature Conservancy are intended to inform discussions among conservation agencies and organizations, industry, policy makers, regulators and the public on how to protect essential natural resources while realizing the benefits of increased domestic energy production.
Landscape Planning by Matthew Cimitile, last updated: Mar 05, 2015 06:40 AM
Image of land managers coordinating.
Photo Collage Energy Assessment by Matthew Cimitile, last updated: Mar 05, 2015 06:40 AM
For Assessing Future Energy Development across the Appalachians.
Energy Landing Page Image by Matthew Cimitile, last updated: Mar 05, 2015 06:40 AM
For Assessing Future Energy Development Across the Appalachians.
Document: Summary of CT Pilot Core Team Meeting & Call, 01-05-2015 by mmallek, last updated: Feb 27, 2015 02:22 PM
Summary of meeting to discuss connectivity layer and relationship to connectors with the terrestrial design.
Summary (Feb 19th) call by Jean Brennan, last updated: Feb 27, 2015 08:20 AM
Workshop Planning Team: notes from Feb 19th call (provide feedback to JanaS).
Summary (Feb 26th) call by Jean Brennan, last updated: Feb 27, 2015 08:16 AM
Workshop planning team coordination call notes. JS
Link to Driftless Area Master planning document -- Paul Cunningham WDNR by Jean Brennan, last updated: Feb 26, 2015 09:11 AM
Essentially - creating a report card to identify those areas to protect, etc.
Chazal, Anne by Matthew Cimitile, last updated: Feb 24, 2015 09:13 AM
 
Modeling spatially varying landscape change points in species occurrence thresholds by Jean Brennan, last updated: Feb 20, 2015 01:15 PM
by T. Wagner and S. Miday, Abstract. Predicting species distributions at scales of regions to continents is often necessary, as largescale phenomena influence the distributions of spatially structured populations. Land use and land cover are important large-scale drivers of species distributions, and landscapes are known to create species occurrence thresholds, where small changes in a landscape characteristic results in abrupt changes in occurrence. The value of the landscape characteristic at which this change occurs is referred to as a change point. We present a hierarchical Bayesian threshold model (HBTM) that allows for estimating spatially varying parameters, including change points. Our model also allows for modeling estimated parameters in an effort to understand large-scale drivers of variability in land use and land cover on species occurrence thresholds. We use range-wide detection/nondetection data for the eastern brook trout (Salvelinus fontinalis), a stream-dwelling salmonid, to illustrate our HBTM for estimating and modeling spatially varying threshold parameters in species occurrence. We parameterized the model for investigating thresholds in landscape predictor variables that are measured as proportions, and which are therefore restricted to values between 0 and 1. Our HBTM estimated spatially varying thresholds in brook trout occurrence for both the proportion agricultural and urban land uses. There was relatively little spatial variation in change point estimates, although there was spatial variability in the overall shape of the threshold response and associated uncertainty. In addition, regional mean stream water temperature was correlated to the change point parameters for the proportion of urban land use, with the change point value increasing with increasing mean stream water temperature. We present a framework for quantify macrosystem variability in spatially varying threshold model parameters in relation to important largescale drivers such as land use and land cover. Although the model presented is a logistic HBTM, it can easily be extended to accommodate other statistical distributions for modeling species richness or abundance.