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Skip to Search Results- 7Graduate and Postdoctoral Studies (GPS), Faculty of
- 7Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 5Biological Sciences, Department of
- 4Biological Sciences, Department of/Journal Articles (Biological Sciences)
- 2ERA General Collection
- 2ERA General Collection/Research Materials (ERA General)
- 7Thesis
- 4Article (Published)
- 2Article (Draft / Submitted)
- 2Learning Object
- 1Conference/Workshop Presentation
- 1Report
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2000
Keyghobadi, N., Roland, J., Fownes, S.
We used mark-recapture methods to estimate the number of Parnssius smintheus (Papilionidae) butterflies moving among 20 alpine meadows separated by varying amounts of forest along the east slope of the Rocky Mountains in Alberta, Canada. We combined generalized additive models and generalized...
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2022-01-26
The Level of Traffic Stress (LTS) framework is widely used to assess the suitability of roadway environments for cycling. Its main strength is the identification of infrastructure characteristics that meet the needs of different cyclist groups. The four levels of infrastructure ratings, LTS 1 to...
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Analyzing Network Connectivity by Cyclist Comfort: An Empirical Reappraisal of the Four Types of Cyclists Typology and Level of Traffic Stress Framework
DownloadFall 2019
North America is seeing a resurgence of interest in cycling both for recreation and as a transportation mode. Cycling is touted as a means to reduce traffic congestion and its GHG emissions and pollution, increase livability, and provide a remedy to inactivity and its related health problems....
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Are boreal birds resilient to forest fragmentation? An experimental study of short-term community responses
Download1997
Schmiegelow, F. K. A., Machtans, C. S., Hannon, S. J.
Abstract: We studied the effect of habitat fragmentation on the richness, diversity, turnover, and abundance of bleeding bird communities in old, boreal mixed-wood forest by creating isolated and connected forest fragments of 1, 10, 40, and 100 ha. Connected fragments were linked by 100 m wide...
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Spring 2015
The conservation of large mammals such as Asian elephant (Elephas maximus) and tiger (Panthera tigris) requires management of core reserves, as well as habitat and connectivity across multiple-use areas. These charismatic species may also help catalyze conservation investments that may benefit...
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2017-07-06
Chhetri, Suraj, Pearce, Hanne, Andre, Alestine, McMahon, Rob, Snowshoe, Sharon, Devlin, Tony, Kritsch, Ingrid
This facilitator handbook is a companion document to the workbook entitled "Digital Content and Connectivity with Gwich’in Contexts: Workbook". It was developed as a joint pilot project between the Gwich’in Tribal Council (GTC) and the University of Alberta’s Faculty of Extension to explore...
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2017-07-06
Chhetri, Suraj, Pearce, Hanne, Andre, Alestine, McMahon, Rob, Snowshoe, Sharon, Devlin, Tony, Kritsch, Ingrid
This workbook was developed for a joint pilot workshop project between the Gwich’in Tribal Council (GTC) and the University of Alberta’s Faculty of Extension to explore digital literacy in the North. The workshop involved discussion of concepts related to digital content (digitization, archiving...
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Finding non-Redundant, Statistically Significant Regions in High Dimensional Data: a Novel Approach to Projected and Subspace Clustering
Download2008
Moise, Gabriela, Sander, Joerg
Technical report TR08-03. Projected and subspace clustering algorithms search for clusters of objects in subsets of attributes. Projected clustering computes several disjoint clusters, plus outliers, so that each cluster exists in its own subset of attributes. Subspace clustering enumerates...
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2017-01-31
While many studies have evaluated wildlife passage effectiveness, few have explored how accurately passage activity can be modelled. I created a habitat suitability index (HSI) model for American mink (Neovison vison) using Geographic Information Systems with 17 wildlife passages located in Quebe...
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High-dimensional data mining: subspace clustering, outlier detection and applications to classification
DownloadSpring 2010
Data mining in high dimensionality almost inevitably faces the consequences of increasing sparsity and declining differentiation between points. This is problematic because we usually exploit these differences for approaches such as clustering and outlier detection. In addition, the exponentially...