An Introduction to Conservation Easements: A Simple Concept and a Complicated Mosaic of Law

2015 ◽  
Author(s):  
Federico Cheever ◽  
Nancy A. McLaughlin
Keyword(s):  
Conservation Easements ◽  
Simple Concept

Effectiveness of conservation easements for reducing development and maintaining biodiversity in sagebrush ecosystems

2011 ◽  
Vol 144 (1) ◽  
pp. 567-574 ◽  
Author(s):  
Amy Pocewicz ◽  
Joseph M. Kiesecker ◽  
George P. Jones ◽  
Holly E. Copeland ◽  
Jody Daline ◽  
...  
Keyword(s):  
Conservation Easements

A new and simple concept of tunable two-chip microcavities for filter applications in WDM systems

2000 ◽  
Vol 12 (11) ◽  
pp. 1522-1524 ◽  
Author(s):  
M. Aziz ◽  
J. Pfeifer ◽  
M. Wohlfarth ◽  
C. Luber ◽  
S. Wu ◽  
...  
Keyword(s):  
Simple Concept

scholarly journals Product formalisms for measures on spaces with binary tree structures: representation, visualization, and multiscale noise

2020 ◽  
Vol 8 ◽  
Author(s):  
Devasis Bassu ◽  
Peter W. Jones ◽  
Linda Ness ◽  
David Shallcross
Keyword(s):  
Data Science ◽  
Theoretical Foundation ◽  
Continuous Functions ◽  
Noise Model ◽  
Data Types ◽  
Data Set ◽  
Tree Structures ◽  
Simple Concept ◽  
Wide Range ◽  
Computer Scientists

Abstract In this paper, we present a theoretical foundation for a representation of a data set as a measure in a very large hierarchically parametrized family of positive measures, whose parameters can be computed explicitly (rather than estimated by optimization), and illustrate its applicability to a wide range of data types. The preprocessing step then consists of representing data sets as simple measures. The theoretical foundation consists of a dyadic product formula representation lemma, and a visualization theorem. We also define an additive multiscale noise model that can be used to sample from dyadic measures and a more general multiplicative multiscale noise model that can be used to perturb continuous functions, Borel measures, and dyadic measures. The first two results are based on theorems in [15, 3, 1]. The representation uses the very simple concept of a dyadic tree and hence is widely applicable, easily understood, and easily computed. Since the data sample is represented as a measure, subsequent analysis can exploit statistical and measure theoretic concepts and theories. Because the representation uses the very simple concept of a dyadic tree defined on the universe of a data set, and the parameters are simply and explicitly computable and easily interpretable and visualizable, we hope that this approach will be broadly useful to mathematicians, statisticians, and computer scientists who are intrigued by or involved in data science, including its mathematical foundations.

scholarly journals Factors Impacting Agricultural Landowners' Willingness to Enter into Conservation Easements: A Case Study

2010 ◽  
Vol 24 (1) ◽  
pp. 65-74 ◽  
Author(s):  
Ashley D. Miller ◽  
Christopher T. Bastian ◽  
Donald M. McLeod ◽  
Catherine M. Keske ◽  
Dana L. Hoag
Keyword(s):  
Conservation Easements ◽  
Agricultural Landowners

scholarly journals Graph Theory of Chemical Series and Broad Categorization of Clusters

2018 ◽  
Vol 10 (1) ◽  
pp. 17
Author(s):  
Enos Masheija Rwantale Kiremire
Keyword(s):  
Graph Theory ◽  
Transition Metal ◽  
Metal Clusters ◽  
Transition Metal Clusters ◽  
Recent Introduction ◽  
Simple Concept ◽  
Wide Range ◽  
Nuclear Clusters

The recent introduction of skeletal numbers has made it much easier to analyze and categorize a wide range of many chemical clusters. In the process, it has been found that a large number of transition metal clusters with and without ligands are capped and do possess closo nuclear clusters. On the basis of the nuclear index, the clusters have been categorized into groups. The categorization of the clusters will greatly assist in promoting deeper understanding and the synthesis of novel clusters and their applications. A simple concept of graph theory of capping clusters has been introduced.

Sign in / Sign up

Export Citation Format

Share Document