Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- Asymptotic estimation (2)
- Distance sampling (2)
- Forest inventory (2)
- Plotless density estimation (2)
- Point patterns (2)
-
- Cross K-function (1)
- Distance-Based Sampling (1)
- Education and outreach (1)
- Effusive volcanism (1)
- Environmentalism (1)
- Eruption mechanisms (1)
- Excess sulfur (1)
- Formal science education (1)
- Green initiatives (1)
- Home rule (1)
- IGCP 591 (1)
- Informal science education (1)
- Melt inclusions (1)
- Municipalities (1)
- Null models (1)
- Random labeling (1)
- Spatial interaction (1)
- Toroidal shift (1)
- United States (1)
- Volcanic gases (1)
Articles 1 - 7 of 7
Full-Text Articles in Physical Sciences and Mathematics
Restricted Random Labeling: Testing For Between-Group Interaction After Controlling For Joint Population And Within-Group Spatial Structure, Barry J. Kronenfeld, Timothy F. Leslie
Restricted Random Labeling: Testing For Between-Group Interaction After Controlling For Joint Population And Within-Group Spatial Structure, Barry J. Kronenfeld, Timothy F. Leslie
Faculty Research and Creative Activity
Statistical measures of spatial interaction between multiple types of entities are commonly assessed against a null model of either toroidal shift (TS), which controls for spatial structure of individual subpopulations, or random labeling (RL), which controls for spatial structure of the joint population. Neither null model controls for both types of spatial structure simultaneously, although this may sometimes be desirable when more than two subpopulations are present. To address this, we propose a flexible framework for specifying null models that we refer to as restricted random labeling (rRL). Under rRL, a specified subset of individuals is restricted and other individuals …
Know Where To Go, Kirstin Duffin
Know Where To Go, Kirstin Duffin
Faculty Research & Creative Activity
Assessing library article databases for efficient access to multidisciplinary research – A case study in bioenergy
Communicating The Science Of Igcp 591 To The Public, Lewandowski J. Katherine
Communicating The Science Of Igcp 591 To The Public, Lewandowski J. Katherine
Faculty Research and Creative Activity
Selling the broader impacts of science to funding agencies has become a necessity in a time when competition for grant money is high. While involving students in research is still important for maintaining a pipeline of trained scientists, the bar has been raised and it is increasingly incumbent on us to communicate to the public what is so important about our work. To be competitive in the search for funds, there must be a plan for the science funded to be disseminated to the public. The education and outreach plan for IGCP 591 attempts to appeal to this broader audience …
Home Rule And Environmentalism: The Adoption Of Green Initiatives In U.S. Municipalities, Luke Eastin
Home Rule And Environmentalism: The Adoption Of Green Initiatives In U.S. Municipalities, Luke Eastin
2013 Awards for Excellence in Student Research & Creative Activity - Documents
In recent years there has been a movement in academia from studying environmental policy on the national level to a much narrower examination of local municipalities and their respective green initiatives. The implications of this research reach well beyond the borders of academics and hit squarely municipalities and their corresponding local policy makers. We, as political scientists, must ask what particular characteristics of municipalities play the most significant role in green initiative adoption. Recent urban scholarship has suggested several variables that influence the adoption of environmental policies, but one specific variable, municipality home rule status, has had little to no …
Insight Into Volatile Behavior At Nyamuragira Volcano (D.R. Congo, Africa) Through Olivine-Hosted Melt Inclusions, Elisabet M. Head, Alison M. Shaw, Paul J. Wallace, Kenneth W. W. Sims, Simon A. Carn
Insight Into Volatile Behavior At Nyamuragira Volcano (D.R. Congo, Africa) Through Olivine-Hosted Melt Inclusions, Elisabet M. Head, Alison M. Shaw, Paul J. Wallace, Kenneth W. W. Sims, Simon A. Carn
Faculty Research and Creative Activity
[1] We present new olivine-hosted melt inclusion volatile (H20, C02, S, Cl, F) and major element data from five historic eruptions ofNyamuragira volcano (1912, 1938, 1948, 1986, 2006). Host-olivine Mg#'s range from 71 to 84, with the exception of the 1912 sample (Mg# = 90}.lnclusion compositions extend from alkali basalts to basanite-tephritcs. Our results indicate inclusion entrapment over depths ranging from 3 to 5 km, which agree with independent estimates of magma storage depths (3-7 km) based on geophysical methods. Melt compositions derived from the 1986 and 2006 Nyamuragira tephra samples best represent pre-eruptive volatile compositions because these samples contain …
A Plotless Density Estimator Based On The Asymptotic Limit Of Ordered Distance Estimation Values, Barry Kronenfeld
A Plotless Density Estimator Based On The Asymptotic Limit Of Ordered Distance Estimation Values, Barry Kronenfeld
Faculty Research and Creative Activity
Estimation of tree density from point-tree distances is an attractive option for quick inventory of new sites, but estimators that are unbiased in clustered and dispersed situations have not been found. Noting that bias of an estimator derived from distances to the kth nearest neighbor from a random point tends to decrease with increasing k, a method is proposed for estimating the limit of an asymptotic function through a set of ordered distance estimators. A standard asymptotic model is derived from the limiting case of a clustered distribution. The proposed estimator is evaluated against 13 types of simulated generating processes, …
A Plotless Density Estimator Based On The Asymptotic Limit Of Ordered Distance Estimation Values, Barry J. Kronenfeld
A Plotless Density Estimator Based On The Asymptotic Limit Of Ordered Distance Estimation Values, Barry J. Kronenfeld
Faculty Research and Creative Activity
Estimation of tree density from point-tree distances is an attractive option for quick inventory of new sites, but estimators that are unbiased in clustered and dispersed situations have not been found. Noting that bias of an estimator derived from distances to the kth nearest neighbor from a random point tends to decrease with increasing k, a method is proposed for estimating the limit of an asymptotic function through a set of ordered distance estimators. A standard asymptotic model is derived from the limiting case of a clustered distribution. The proposed estimator is evaluated against 13 types of simulated generating processes, …