Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case

Linda Petutschnig; Thomas Clemen; E. Sophia Klaußner; Ulfia Clemen; Stefan Lang

doi:10.3390/ijgi13020033

Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case

Linda Petutschnig, Thomas Clemen, E. Sophia Klaußner, Ulfia Clemen, Stefan Lang

Research output: Contribution to journal › Article › peer-review

Original language	English
Journal	ISPRS International Journal of Geo-Information
Volume	13
Issue number	2
DOIs	https://doi.org/10.3390/ijgi13020033 https://doi.org/10.3390/ijgi13020033
Publication status	Published - 23 Jan 2024

Bibliographical note

Publisher Copyright:
© 2024 by the authors.

Keywords

Data assimilation
Geoinformatics
data quality
risk assessment
spatial indicators
geospatial data
malaria risk

Fields of Science and Technology Classification 2012

105 Geosciences
211 Other Technical Sciences

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title = "Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case",

keywords = "Data assimilation, Geoinformatics, data quality, risk assessment, spatial indicators, geospatial data, malaria risk",

author = "Linda Petutschnig and Thomas Clemen and Klau{\ss}ner, {E. Sophia} and Ulfia Clemen and Stefan Lang",

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year = "2024",

month = jan,

day = "23",

doi = "10.3390/ijgi13020033",

language = "English",

volume = "13",

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T1 - Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case

AU - Petutschnig, Linda

AU - Clemen, Thomas

AU - Klaußner, E. Sophia

AU - Clemen, Ulfia

AU - Lang, Stefan

PY - 2024/1/23

Y1 - 2024/1/23

KW - Data assimilation

KW - Geoinformatics

KW - data quality

KW - risk assessment

KW - spatial indicators

KW - geospatial data

KW - malaria risk

UR - https://doi.org/10.3390/ijgi13020033

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U2 - 10.3390/ijgi13020033

DO - 10.3390/ijgi13020033

M3 - Article

SN - 2220-9964

VL - 13

JO - ISPRS International Journal of Geo-Information

JF - ISPRS International Journal of Geo-Information

IS - 2

ER -

Evaluating Geospatial Data Adequacy for Integrated Risk Assessments: A Malaria Risk Use Case

Bibliographical note

Keywords

Fields of Science and Technology Classification 2012

Access to Document

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