Keith C. Clarke

Keith C. Clarke

University of California, Santa Barbara

H-index: 71

North America-United States

About Keith C. Clarke

Keith C. Clarke, With an exceptional h-index of 71 and a recent h-index of 45 (since 2020), a distinguished researcher at University of California, Santa Barbara, specializes in the field of Cartography, geographic information systems, urban modeling, geocomputation.

His recent articles reflect a diverse array of research interests and contributions to the field:

Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations (vol 10, 725, 2023)

Publisher Correction: Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations

Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions

Comprehensive analysis of the NOAA National Water Model: A call for heterogeneous formulations and diagnostic model selection

Approaches to scaling of geo-spatial data

A geographical and content-based approach to prioritize relevant and reliable tweets for emergency management

Land use zoning management to coordinate the supply–demand imbalance of ecosystem services: a case study in the city Belt along the yellow river in ningxia, China

Impacts of spatiotemporal resolution and tiling on SLEUTH model calibration and forecasting for urban areas with unregulated growth patterns

Keith C. Clarke Information

University

Position

Professor of Geography

Citations(all)

24611

Citations(since 2020)

8652

Cited By

20776

hIndex(all)

71

hIndex(since 2020)

45

i10Index(all)

189

i10Index(since 2020)

132

Email

University Profile Page

University of California, Santa Barbara

Google Scholar

View Google Scholar Profile

Keith C. Clarke Skills & Research Interests

Cartography

geographic information systems

urban modeling

geocomputation

Top articles of Keith C. Clarke

Title

Journal

Author(s)

Publication Date

Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations (vol 10, 725, 2023)

Scientific Data

J Michael Johnson

David L Blodgett

Keith C Clarke

Jon Pollak

2023/10/20

Publisher Correction: Restructuring and serving web-accessible streamflow data from the NOAA National Water Model historic simulations

Scientific Data

J Michael Johnson

David L Blodgett

Keith C Clarke

Jon Pollak

2024

Untangling the impacts of land cover representation and resampling in distributed hydrological model predictions

Environmental Modelling & Software

Dong-Hyun (Donny) Kim

J Michael Johnson

Keith C Clark

Hilary K McMillan

2023

Comprehensive analysis of the NOAA National Water Model: A call for heterogeneous formulations and diagnostic model selection

Journal of Geophysical Research: Atmospheres

J Michael Johnson

Shiqi Fang

Arumugam Sankarasubramanian

Arash Modaresi Rad

Luciana Kindl da Cunha

...

2023/12/27

Approaches to scaling of geo-spatial data

Zong-Guo Xia

Keith C Clarke

2023/1/13

A geographical and content-based approach to prioritize relevant and reliable tweets for emergency management

Cartography and Geographic Information Science

A Marcela Suarez

Keith C Clarke

2022/9/3

Land use zoning management to coordinate the supply–demand imbalance of ecosystem services: a case study in the city Belt along the yellow river in ningxia, China

Frontiers in Environmental Science

Rongfang Lyu

Keith C Clarke

Xiaolei Tian

Wenpeng Zhao

Jili Pang

...

2022/8/3

Impacts of spatiotemporal resolution and tiling on SLEUTH model calibration and forecasting for urban areas with unregulated growth patterns

International Journal of Geographical Information Science

Damilola Eyelade

Keith C Clarke

Ighodalo Ijagbone

2022/5/4

Knowledge graphs to support real-time flood impact evaluation

AI Magazine

J Michael Johnson

Tom Narock

Justin Singh-Mohudpur

Doug Fils

Keith Clarke

...

2022/3/31

Determining Feature Based Hydraulic Geometry and Rating Curves using a Physically Based, Computationally Efficient Framework

J Michael Johnson

James Coll

Keith C Clarke

Shahab Afshari

Siddharth Saksena

...

2022/12/21

Mixed-cell cellular automata: A new approach for simulating the spatio-temporal dynamics of mixed land use structures

Landscape and Urban Planning

Xun Liang

Qingfeng Guan*

Keith C Clarke

Guangzhao Chen

Song Guo

...

2021

SLEUTH modeling informed by landscape ecology principles: Case study using scenario-based planning in Sariyer, Istanbul, Turkey

Journal of Urban Planning and Development

Meliz Akyol Alay

Hayriye Eşbah Tunçay

Keith C Clarke

2021/12/1

An area preserving method for improved categorical raster resampling

Cartography and Geographic Information Science

J Michael Johnson

Keith C Clarke

2021/7/4

Cellular automata and agent-based models

Keith C Clarke

2021/1/14

Is less more? Experimenting with visual stacking of coincident maps for spatial global sensitivity analysis in urban land-use change modeling

Environmental Modelling & Software

Seda Şalap-Ayça

Piotr Jankowski

Keith C Clarke

Atsushi Nara

2021/11/1

Using mixed-methods to understand community vulnerability to debris flows in Montecito, CA

Understanding and Reducing Landslide Disaster Risk: Volume 2 From Mapping to Hazard and Risk Zonation 5th

Erica Akemi Goto

Summer Gray

Edward Keller

Keith C Clarke

2021

Too fine to be good? Issues of granularity, uniformity and error in spatial crime analysis

Journal of Quantitative Criminology

Rafael G Ramos

Bráulio FA Silva

Keith C Clarke

Marcos Prates

2021/6

A comprehensive quality assessment framework for linear features from Volunteered Geographic Information

International Journal of Geographical Information Science

Hao Wu

Anqi Lin

Keith C Clarke

Wenzhong Shi

Abraham Cardenas-Tristan

...

2021/9/2

Dynamics of spatial relationships among ecosystem services and their determinants: Implications for land use system reform in Northwestern China

Land Use Policy

Rongfang Lyu

Keith C Clarke

Jianming Zhang

Junli Feng

Xuehui Jia

...

2021/3/1

Ordinal Logistic Regression to Automatic Classify Shallow Landslide Risk Level in Sao Paulo City, Brazil

Understanding and Reducing Landslide Disaster Risk: Volume 2 From Mapping to Hazard and Risk Zonation 5th

Erica Akemi Goto

Keith C Clarke

2021

See List of Professors in Keith C. Clarke University(University of California, Santa Barbara)

Co-Authors

H-index: 94
Martin Herold

Martin Herold

Wageningen Universiteit

H-index: 68
Janet Franklin

Janet Franklin

University of California, Riverside

H-index: 59
Bryan Pijanowski

Bryan Pijanowski

Purdue University

H-index: 56
Robert Gilmore Pontius Jr

Robert Gilmore Pontius Jr

Clark University

H-index: 42
HELEN COUCLELIS

HELEN COUCLELIS

University of California, Santa Barbara

H-index: 31
Qingfeng Guan

Qingfeng Guan

China University of Geosciences Wuhan

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