#geostatistics — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #geostatistics, aggregated by home.social.
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A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
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https://doi.org/10.1007/s11069-026-08361-w <-- shared paper
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http://alturl.com/4e83i <-- shared webmap / data portal
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https://www.independent.ie/irish-news/revealed-researchers-pinpoint-county-facing-greatest-risk-of-coastal-erosion-as-sea-levels-rise/a/161113880.html <-- shared media article
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[“The index complements site-specific flood and erosion modelling.”]
H/T @kevin Walsh | PhD Researcher at University College Cork
“In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
[They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
[The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
#spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies -
A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
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https://doi.org/10.1007/s11069-026-08361-w <-- shared paper
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http://alturl.com/4e83i <-- shared webmap / data portal
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https://www.independent.ie/irish-news/revealed-researchers-pinpoint-county-facing-greatest-risk-of-coastal-erosion-as-sea-levels-rise/a/161113880.html <-- shared media article
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[“The index complements site-specific flood and erosion modelling.”]
H/T @kevin Walsh | PhD Researcher at University College Cork
“In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
[They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
[The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
#spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies -
A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
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https://doi.org/10.1007/s11069-026-08361-w <-- shared paper
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http://alturl.com/4e83i <-- shared webmap / data portal
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https://www.independent.ie/irish-news/revealed-researchers-pinpoint-county-facing-greatest-risk-of-coastal-erosion-as-sea-levels-rise/a/161113880.html <-- shared media article
--
[“The index complements site-specific flood and erosion modelling.”]
H/T @kevin Walsh | PhD Researcher at University College Cork
“In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
[They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
[The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
#spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies -
A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
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https://doi.org/10.1007/s11069-026-08361-w <-- shared paper
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http://alturl.com/4e83i <-- shared webmap / data portal
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https://www.independent.ie/irish-news/revealed-researchers-pinpoint-county-facing-greatest-risk-of-coastal-erosion-as-sea-levels-rise/a/161113880.html <-- shared media article
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[“The index complements site-specific flood and erosion modelling.”]
H/T @kevin Walsh | PhD Researcher at University College Cork
“In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
[They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
[The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
#spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies -
A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
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https://doi.org/10.1007/s11069-026-08361-w <-- shared paper
--
http://alturl.com/4e83i <-- shared webmap / data portal
--
https://www.independent.ie/irish-news/revealed-researchers-pinpoint-county-facing-greatest-risk-of-coastal-erosion-as-sea-levels-rise/a/161113880.html <-- shared media article
--
[“The index complements site-specific flood and erosion modelling.”]
H/T @kevin Walsh | PhD Researcher at University College Cork
“In this paper [1st link above], [the authors] seek to answer the question “what is the relative distribution of exposure to coastal hazards around the Irish coast, and where can coastal habitats potentially reduce exposure?”
The method [they] chose to achieve this was the Coastal Vulnerability Model (CVM), within the InVEST software suite. This involves combining the key physical and climatic variables which can show us where along the coast might be most adversely affected by extreme winds, powerful waves and surges, and sea level rise.
It also reveals the potential protection provided by coastal habitats, such as dunes and saltmarsh, as well as populations and sites of cultural heritage located within zones deemed “Very High Exposure”.
[They] tested variations to the model, including seeing how the results change when certain variables are left out, what happens if we add in other variables, and how ranking choices impact exposure distribution. The results show that these choices, especially the ranking methods, can have large impacts on hazard distribution and the overall interpretation of the results. However, [they] found that the CVM quintile based approach was most suitable for Ireland, as it reveals high exposure sites on the east coast, which tends to be overlooked when different methods are applied.
[The H/T] also prepared an interactive map, where you can view the results in detail [2nd link above]
There’s a lot of work ongoing in this space around Ireland, [they] hope this will be a valuable contribution towards sustainable management of our coastline…”
#spatialanalysis #exposure #coastal #hazards #mitigation #risk #Ireland #Irish #coast #CoastalVulnerabilityModel #CVM #InVEST #model #modeling #spatiotemporal #geostatistics #statistics #spatial #mapping #geomorphology #geology #climate #wind #wave #tidal #erosion #stormsurge #storms #ocean #sealevelrise #climatechange #extremeweather #dunes #saltmarshes #machair #seagrass #habitat #protection #vulnerability #parametersensitivity #exposure #sustainable #populationpressure #CoastalExposureIndex #culturalheritage #coastalzonemanagement #planning #policy #evidencebased #adaption #strategies -
Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
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https://openscholar.uga.edu/record/26998/files/Zhang_uga_0077E_16145.pdf <-- shared technical publication / dissertation
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https://www.aag.org/award-grant/william-l-garrison-award-for-best-dissertation-in-computational-geography/ <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
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[again, way outside any expertise I might have, but fascinating spatial analysis use case…]
H/T @Jielu Zhang | Postdoctoral Researcher @ Harvard University
“[The authors] Ph.D. dissertation "Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome" [1st link above] has received the 2026 biennial William L. Garrison Award for Best Dissertation in Computational Geography from the American Association of Geographers… [2nd link above.]
In [their] research, [they] develop[ed] Explainable GeoAI and Causal GeoAI methods that combine geographic data and artificial intelligence to expose and ameliorate health disparities by delivering models that not only predict risks but also illuminate how and where to intervene. While [their] dissertation focused on cardiovascular disease, these approaches are broadly applicable to public health, medicine, urban planning, environmental exposure, and resilience research…”
#explainable #causal #AI #model #modeling #PublicHealth #GIS #spatial #mapping #spatialanalysis #spatiotemporal #AAG2026 #AAG #Award #geostatistics #Georgia #health #risk #hazard #cardiacarrest #cardiovacscular #usecase #metrics #midocine #urbanplanning #resilience #survival #OutofHospital #PhD #Dissertation #CardiacArrest #AutomatedExternalDefibrillator #SpatialOptimization #GeographicallyExplainableArtificialIntelligence #GeoAI #GeoXAI #SpatiallyAwareCausalInference #OverlayedSpatioTemporalOptimization #healthcare #medical #intervention #GIS #spatial #mappingt #spatialanalysis #spatiotemporal #heart #heartattack #AED #survival #survivaloutcomes #machinelearning #AI #publichealth #healthgeographers #counterfactual #explainable #deeplearning #model #modeling -
Permafrost Distribution, Degradation, And Potential Mass Movement Cascades In The Western Himalaya Using Machine Learning And Numerical Models
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https://doi.org/10.1038/s44304-026-00217-4 <-- shared paper
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https://doi.org/10.1038/s41598-025-22051-w <-- shared (earlier) paper
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https://doi.org/10.1080/2150704X.2025.2488532 <-- shared (earlier) paper
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H/T @abhinav Alangadan
“Can we develop a first-order understanding of permafrost degradation and glacial lakes exposed to degradation-induced mass movements in the Himalaya?
[The authors] tried to address this question. The study [first link above] integrates machine learning, statistical modeling, and numerical modeling to investigate high-resolution permafrost distribution, potential degradation, and associated mass-movement hazards in the Kinnaur district of Himachal Pradesh, India.
Using rock glaciers as proxies, [they] generated a high-resolution permafrost distribution using machine learning, while potential degradation zones were delineated using the 0°C isotherm as a first-order indicator. [They] further identified glacial lakes located near potentially degrading permafrost zones and reconstructed their bathymetry. A detailed scenario-based GLOF process-chain simulation was then carried out for Kashang Lake using r.avaflow and HEC-RAS.
[Their] results indicate that seven glacial lakes in #Kinnaur are located close to potentially degrading permafrost zones. The simulations further show that a potential GLOF from Kashang Lake could inundate critical downstream infrastructure, including nearly 11 km of National Highway 5…”
#permafrost #distribution #GIS #spatial #mapping #Himalayas #India #Kinnaur #HimachalPradesh #KashangLake #massmovement #engineeringgeology #machinelearning #AI #model #modeling #numericalmodel #glaciallakes #glaciet #glacial #glaciallakeoutburstflood #GLOF #cryosphere #geostatistics #rockglaciers #GeoAI #bathymetry #processchainsimulation #HECRAS #avaflow #risk #hazard #mitigation #riskassessment #infrastructure #HEP #publicsafety #downstream #avalanche -
On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
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https://doi.org/10.1016/j.enggeo.2026.108860 <-- shared paper
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#rainfallinduced #landslide #Functionalregression #Japan #Earlywarningsystem #Spacetimeprediction #spatialanalysis #spatiotemporal #massmovement #engineeringgeology #geomorphology #hydrogeomorphology #geomorphometry #remotesensing #geostatistics #model #modeling #mechanics #rainfall #threshold #precipitation #water #hydrology #risk #hazard #hazardassessment #terrain #landscape #landform #landuse #geology #soil #lithology #functionalGeneralizedAdditiveModel #FGAM #prediction #casestudy #AI #LLM -
Influence Of Modeling Assumptions On Pedestrian Evacuation Success For Non-Eruptive Lahar Hazards At Mount Rainier, Washington
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https://doi.org/10.1016/j.ijdrr.2026.106132 <-- shared paper
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https://www.sciencebase.gov/catalog/item/697ba3e5b66b0197c3043d2f <-- shared, related open data source
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[I still remember working on and being fascinated by lahars being an engineering geologist in Washington State (and from my time studying in New Zealand), although (of course) not to this level of detail/focus]
#volcano #lahar #evacuation #exposure #model #modeling #engineeringeology #risk #hazard #naturalhazard #MountRainer #Washington #USA #spatialanalysis #spatiotemporal #emergencymanagement #GIS #spatial #mapping #publicsafety #hazardzone #vulcanism #downstream #debrisflow #massmovement #monitoring #detection #geostatistics #demographics #atrisk #fedscience #publicgood #fedservice #opendata
@USGS -
What Shapes Earthquake Risk In Bangladesh? Geospatial Insights From Physical And Social Factors Using A Spatial Meta-Regression Approach
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https://doi.org/10.1007/s41748-026-01089-4 <-- shared paper
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#EarthquakeRisk #GIS #Bangladesh #DisasterManagement #SEAsia #GIS #spatial #mapping #risk #hazard #earthquake #naturalhazard #urban #rural #infrastructure #publicsafety #model #modeling #spatialanalysis #spatiotemporal #geomorphology #geology #tectonics #social #cultural #demographics #fault #faulting #factoranalysis #seismichazard #model #modeling #socioeconomics #geophysics #remotesensing #geostatistics #landuse #framework #magnitude #engineering #buildingcode #mitigation #zoning #development #growth #vulnerability -
Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
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https://doi.org/10.1080/24694452.2025.2511941 <-- shared paper
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#GIS #spatial #mapping #FlintsLaw #GuadalupeMountainsNationalPark #longitudinal #streamprofile #rockstrength #SchmidtHammer #engineeringgeology #geology #GuadalupeMountains #NationalPark #water #hydrology #hydrography #erosion #boundaryconditions #spatialanalysis #remotesensing #climate #geomorphometry #geomorphology #lithology #rock #bedrock #incision #river #profile #testing #climatechange #surfaceprocesses #statistics #geostatistics #concanity #steepness #knickpoints #corrleation #model #modeling #NewMexico -
Don’t Move A Mussel - The Role Of Key Environmental Drivers And Management Scale In Assessing Spatial Variation In Dreissenid Spread Risk In The Missouri River Basin
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https://doi.org/10.1016/j.ecolind.2024.112526 <-- shared paper (Missouri River Basin)
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https://www.usgs.gov/centers/western-fisheries-research-center/news/assessing-risk-invasive-mussels-spreading-throughout <-- shared technical article (Columbia River Basin)
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https://rconnect.usgs.gov/webDR/ <-- shared link to webDR: Dreissenid Risk (Missouri River Basin)
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#GIS #spatial #mapping #fedscience #dreissenids #invasive #invasivespecies #management #mitigation #risk #hazard #riskindexing #webtool #nonnative #ecology #economics #cost #humanimpact #state #basin #water #freshwater #hydrology #basin #watershed #mussel #zebramussel #infested #infestation #watercraft #boating #leisure #pleasure #NorthAmerica #waterbody #decontamination #program #planning #policy #regulations #relativeriskindex #model #modeling #geostatistics #parameters #MissouriRiverBasin #ColumbiaRiverBasin
@USGS