Improving Species Distribution Models with Bias Correction and Geographically Weighted Regression: Tests of Virtual Species and Past and Present Distributions in North American Deserts

Text Registration

Improving Species Distribution Models with Bias Correction and Geographically Weighted Regression: Tests of Virtual Species and Past and Present Distributions in North American Deserts

Status

Published

on 24 May 2018

Year of Creation

2018

Richard Daner Inman

Registration Number

TX0008610903

on 24 May 2018

The U.S. Copyright record (Registration Number: TX0008610903) dated 24 May 2018, pertains to an electronic file (eService) titled "Improving Species Distribution Models with Bias Correction and Geographically Weighted Regression: Tests of Virtual Species and Past and Present Distributions in North American Deserts" created in 2018. The copyright holder is Richard Daner Inman, known for their creative contributions in text registration. For any inquiries concerning this copyrighted material, kindly reach out to Richard Daner Inman.

Richard Daner Inman

Application Details

Registration Number

TX0008610903

Registration Date

5/24/2018

Year of Creation

2018

Agency Marc Code

DLC-CO

Record Status

New

Physical Description

Electronic file (eService)

First Publication Nation

United States

Personal Authors

Richard Inman

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Application Title Statement: Improving Species Distribution Models with Bias Correction and Geographically Weighted Regression: Tests of Virtual Species and Past and Present Distributions in North American Deserts

Author Statement: Richard Inman Citizenship: not known Authorship: text

Notes

Rights Note: Mark Dill, ProQuest-CSA, LLC, 789 E. Eisenhower Parkway, Ann Arbor, MI, 48108-3218, United States, (800) 521-0600, disspub@proquest.com

Statements

Author Statement: Richard Inman Citizenship: not known Authorship: text

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