An entity relationship model of wildlife habitat associations
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An Entity Relationship Model of Wildlife Habitat Associations. Robert A. Deitner Kenneth G. Boykin New Mexico Cooperative Fish & Wildlife Research Unit New Mexico State University. Southwest Regional GAP Arizona, Colorado, Nevada, New Mexico, Utah.

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An entity relationship model of wildlife habitat associations

An Entity Relationship Model of Wildlife Habitat Associations

Robert A. Deitner

Kenneth G. Boykin

New Mexico Cooperative Fish & Wildlife Research Unit

New Mexico State University

Southwest Regional GAP

Arizona, Colorado, Nevada, New Mexico, Utah

US-IALE 2004, Las Vegas, Nevada: Transdisciplinary Challenges in Landscape Ecology


Outline
Outline Associations

  • Introduction /Why?

  • Description of Entity Relationship (ER) models

  • Description of Wildlife Habitat Associations (WHR)

  • ER model of WHR(s)


Scalability
Scalability Associations

  • More pixels

  • More animals

  • More attribute maps

  • More suitability measures

  • More people involved

  • More speed


Entity relationship modeling
Entity-Relationship Modeling Associations

  • Entity

    • Class of facts that are described by a consistent set of attributes. The basic building block

  • Attributes

    • Specific quality of an entity (may in itself be an entity)

  • Relations

    • Description of the association between entities

    • Cardinality, modality


Characteristics of er modeling
Characteristics of ER modeling Associations

  • Abstract method of modeling data

  • Graphical in nature

  • Independent of analysis

  • Beginning of a well designed database

    • Guarantee of “working”

    • Standards exist (SQL)

    • scalable solution


Wildlife habitat relations whr
Wildlife Habitat Relations (WHR) Associations

Any rule based model that predicts habitat quality based on a set of landscape attributes.

Wildlife Habitat Relations are used to create maps of habitat suitability. Usually by “overlay” of landscape attributes.


Example
Example Associations

Suitable habitat for my favorite species occurs in the Rio Grande Basin at elevations over 1800 meters and less than 2400 meters. Breeding habitat occurs up to 2000 meters on South facing slopes.


A whr is analogous to a paragraph
A WHR is analogous to a paragraph Associations

Clause a: “Suitable habitat formy favorite species occurs in the Rio Grande basin”

Clause b: “{Suitable habitatmy favorite species occurs} between 1800 and 2400 meters”

Clause c: “Breeding habitat {for my favorite species} occurs up to 2000 meters”

Clause d: “{Breeding habitatfor my favorite species} occurs on south facing slopes


A whr has two major entities
A WHR Has Two Major Entities Associations

  • Clause: The relationship between a single attribute and its suitability to a particular taxon.

  • Statement: An expression that contains the rules for combining multiple clauses into a single habitat prediction.


Clause taxonomy
Clause Taxonomy Associations

Four types of clauses based on the nature of the inputs (attribute) and outputs (Suitability measure)


Statements combine clauses using a decision matrix
Statements Combine Clauses Using a Decision Matrix Associations

“and” decision matrix / (“or” decision matrix)


Example as algebraic expression

Example as algebraic expression Associations

SmartOverlay($[Or matrix],

Smartoverlay($[and matrix],

$[clause a],

$[clause b]),

Smartoverlay($[and matrix],

$[clause a],

$[clause c],

$[clause d])

)


USGS HUCS Associations

Alliance

Result

Restrictive

Overlay

Liberal

Overlay

Ecol. Systems


Wildlife habitat relationship

Taxon Associations

Attribute

Metadata

Results

Crosswalk

details

Classification

details

Score details

Citation

Literature

Numerical

Classification

Wildlife Habitat Relationship

Statement

Clause

The End


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