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#geostatistics — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #geostatistics, aggregated by home.social.

  1. 💧🌏 Greg Cocks @[email protected] ·

    A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- 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

    #spatialanalysis #exposure #coastal #hazards #mitigation #risk
  2. 💧🌏 Greg Cocks @[email protected] ·

    A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- 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

    #spatialanalysis #exposure #coastal #hazards #mitigation #risk
  3. 💧🌏 Greg Cocks @[email protected] ·

    A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- 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

    #strategies #adaption #evidencebased #policy #planning #coastalzonemanagement
  4. 💧🌏 Greg Cocks @GregCocks ·

    A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- 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
  5. 💧🌏 Greg Cocks @[email protected] ·

    A Coastal Exposure Index For Ireland - Relative Hazard Exposure And The Protective Role Of Coastal Habitats
    --
    doi.org/10.1007/s11069-026-083 <-- shared paper
    --
    alturl.com/4e83i <-- shared webmap / data portal
    --
    independent.ie/irish-news/reve <-- 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

    #spatialanalysis #exposure #coastal #hazards #mitigation #risk
  6. 💧🌏 Greg Cocks @[email protected] ·

    Mapping Flood Agents In The Northern Pantanal Wetland Using Multiple Spatio-Temporal GIS And Remote Sensing Techniques
    --
    doi.org/10.1007/s13157-026-020 <-- shared paper
    --
    H/T @renato Gatto de Morais | Geógrafo | Mestre em Recursos Hídricos | Doutorando em Geografia
    “Combining MODIS data, TRMM, river discharge, a digital terrain model, and multinomial logistic regression, [the authors] identified three predominant classes of flood origin: local rainfall, bank overflow, and mixed areas. The model achieved a Nagelkerke Pseudo-R² of 0.63 and a classification accuracy of up to 81.2% (10-fold cross-validation). To the best of [their] knowledge, this is the first explicit approach to mapping flood agents for this wetland, a component that has historically remained unmapped despite its recognized influence on habitats and biodiversity…”
    --
    “The mapping of functional hydrologic units is crucial for enhancing our understanding of flooding and hydroecological processes in large wetlands. These units are typically defined by flooding frequency, duration, and magnitude, but another important hydrologic characteristic is the origin of flooding, known as the flood agent. This study presents an empirical framework utilizing remote sensing and GIS procedures for modeling flood agents in the northern Pantanal wetland. Eleven spatial data layers were derived from multi-year MODIS flood maps, daily rainfall estimates from the TRMM 3B42 grid, in situ discharge data, the BEST Digital Terrain Model, and a hydrographic network layer. These layers were tested for their predictive power in a multinomial logistic regression mapping model. Model performance metrics, along with qualitative validation of mapping outcomes using in situ flooding measurements, and vegetation and soil data from field test sites, support the plausibility of the proposed mapping scheme. However, they also highlight the challenges of flood agent mapping in large tropical wetlands…”
    #GIS #spatial #mapping #MODIS #TRMM #riverdischarge #digitalterrainmodel #multinomiallogisticregression #geostatistics #Pantanal #Cuiaba #Brazil #water #hydrology #spatialanalysis #spatiotemporal #remotesensing #earthobservation #flood #flooding #source #type #floodagent #tropical #wetland #habitat #biodiversity #ecosystem #hydrologicunit #hydroecology #model #modeling #rainfall #precipitation #weather #climate #discharge #network #metrics

    #gis #spatial #mapping #modis #trmm #riverdischarge
  7. 💧🌏 Greg Cocks @[email protected] ·

    Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
    --
    doi.org/10.3389/feart.2026.188 <-- shared paper
    --
    “Widespread shallow landslide events constitute one of the primary drivers of recurrent societal and economic losses in mountain regions. Although the influence of climate variability on landslide frequency and magnitude has been widely recognized, long-term, event-level analyses linking spatiotemporal landslide patterns to precipitation climatology at the regional scale remain scarce. This study presents a statistical analysis of 128 widespread shallow landslide events recorded in Piedmont, northwestern Italy, over the 66-year period 1960–2025, cross-referenced against the regional precipitation climatology. Events were characterized by season, primary physiographic unit, provincial coverage, and an ordinal magnitude index (scale 1–7) encoding combined spatial extent and estimated landslide count. Results indicate that no statistically significant monotonic trend in event frequency was detected over the study period (mean rate: 1.97 events yr⁻1); however, a moderate positive correlation was established between event magnitude and the number of provinces affected (R2 = 0.51, p < 0.00), validating the magnitude index as a proxy for spatial footprint. Mean event magnitude reached its highest value in the 2010s (3.71), while all five events of magnitude ≥ 6 occurred in autumn. The summer fraction of the catalogue increased markedly, from 6% in the 1960s to 31% in the 2000s and 25% in the 2020s, concurrent with stable or declining summer mean precipitation totals, consistent with Clausius–Clapeyron amplification of convective intensity under documented regional warming. Cross-analysis with regional records identifies three tiers of rainfall–landslide coupling: a stationary direct seasonal coupling; a non-stationary, strengthening intensity-mediated summer coupling; and a structural susceptibility-mediated spatial decoupling whereby the driest provinces generate the highest landslide occurrence frequencies due to the lower triggering thresholds characteristic of Tertiary Piedmont Basin sedimentary environments. A post-hoc assessment of the triggering thresholds used for regional shallow landslide early warning system demonstrates superior detection performance for high-magnitude autumn events (hit rate up to 89% for the 2000–2025 sub-period) and identifies sub-daily convective accumulation windows in summer as the primary domain requiring threshold recalibration…”
    #massmovement #landslide #engineeringgeology #Italy #Piedmont #NorthernItaly #weather #rainfall #precipitation #climate #risk #hazard #corrleation #relationship #earlywarningsystems #damage #loss #community #infrastructure #mountain #spatiotemporal #mapping #spatialanalysis #statistics #geostatistics #climatology #regional #scale #weatherpatterns #physiography #geomorphology #water #hydrology #hydrogeomorphology #geology #soils

    #massmovement #landslide #engineeringgeology #italy #piedmont #northernitaly
  8. 💧🌏 Greg Cocks @[email protected] ·

    Using Geospatial Analysis and Explainable Machine Learning to Examine Risk Factors of Out-of-Hospital Cardiac Arrest Survival Outcome
    --
    openscholar.uga.edu/record/269 <-- shared technical publication / dissertation
    --
    aag.org/award-grant/william-l- <-- shared @AAG William L. Garrison Award for Best Dissertation in Computational Geography
    --
    [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

    #explainable #causal #ai #model #modeling #publichealth
  9. 💧🌏 Greg Cocks @[email protected] ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --
    #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

    #rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction
  10. 💧🌏 Greg Cocks @[email protected] ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --
    #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

    #rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction
  11. 💧🌏 Greg Cocks @[email protected] ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --
    #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

    #rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction
  12. 💧🌏 Greg Cocks @[email protected] ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --
    #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

    #llm #ai #casestudy #prediction #fgam #functionalgeneralizedadditivemodel
  13. 💧🌏 Greg Cocks @GregCocks ·

    On The Use Of Rainfall Time Series For Regional Landslide Prediction By Means Of Functional Regression
    --
    doi.org/10.1016/j.enggeo.2026. <-- shared paper
    --

    #rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction
  14. 💧🌏 Greg Cocks @[email protected] ·

    Scale Dependence In Remotely Sensed Biodiversity: Leveraging Continental-Scale Imaging Spectroscopy From The National Ecological Observatory Network [spatial analysis]
    --
    doi.org/10.1002/rse2.70068 <-- shared paper
    --
    doi.org/10.1038/s41559-022-017 <-- shared paper
    --
    #spectraldiversity #spectroscopy #spatialscale #US #NEON #NationalEcologicalObservatoryNetwork #species #ecology #humanimpacts #remotesensing #biodiversity #earthobservation #GIS #spatial #mapping #scale #scale #diversity #metrics #ecosystems #spectral #richness #scaledependency #principalcompoenent #divergence #spatialanalysis #raster #topography #climate #geomorphology #regression #geostatistics #vegetation #plant #area #region #largescale #continent #forest #tree

    #spectraldiversity #spectroscopy #spatialscale #us #neon #nationalecologicalobservatorynetwork
  15. 💧🌏 Greg Cocks @[email protected] ·

    A Review Of Evolving Remote Sensing And Automated Techniques In Rock Glacier Mapping
    --
    doi.org/10.1016/j.earscirev.20 <-- shared paper
    --
    #GIS #spatial #mapping #rockglacier #glaciers #permafrost #remotesensing #interferometry #earthobservation #spatialanalysis #machinelearning #AI #machinelearning #ML #deeplearning #CNN #metrics #inventory #earthobservation #GeoAI #geostatistics #InSAR #LiDAR #radar #satellite #review #literaturereview #geomorphology #geomorphometry #hydrology #geohazard #risk #hazard #engineeringgeology #biodiversity #permafrost #cryosphere #ice #snow #geology #assessment #survey #research
    @Geospatial Research Institute Toi Hangarau | @University of Canterbury

    #gis #spatial #mapping #rockglacier #glaciers #permafrost
  16. 💧🌏 Greg Cocks @[email protected] ·

    A Review Of Current Best Practices And Future Directions In Assimilating GRACE/-FO Terrestrial Water Storage Data Into Numerical Models
    --
    doi.org/10.5194/hess-30-985-20 <-- shared technical article/review 📖 🔗
    --
    grace.jpl.nasa.gov/ <-- @nasa @JPL home page, Gravity Recovery and Climate Experiment (GRACE)
    --
    #GRACE #GRACEFO #DataAssimilation #EarthObservation #Hydrology #WaterResources #ClimateScience #RemoteSensing #CRC1502 #GIS #spatial #mapping #remotesensing #satellite #earthobservation #water #hydrology #model #modeling #landsurface #hydrogeomorphology #geomorphology #geomorphometry #waterresources #waterstorage #monitoring #groundwater #trends #spatialanalysis #spatiotemporal #droughts #floods #extremeweather #literature #review #summary #watercycle #geostatistics #humanimpacts #irrigation #watermanagement #anthropogenic #pumping #extraction #AI #ML #machinelearning

    #grace #gracefo #dataassimilation #earthobservation #hydrology #waterresources
  17. 💧🌏 Greg Cocks @[email protected] ·

    Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
    --
    doi.org/10.1016/j.jag.2026.105 <-- shared paper 🔗
    --
    github.com/shijuanchen/SEA_for <-- shared GitHub ‘data repository 🔗
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #forest #vegetation #Forestdisturbance #Forestdegradation #Deforestation #remotesensing #SoutheastAsia #Asia #tropicalforests #timeseriesanalysis #geostatistics #disturbance #clearing #planting #agriculture #earthobservation #imagery #CCDC #changedetection #landcover #landuse #change #plantation #cultivation #slashandburn #planning #mitigation #catalogue #conservation #management #landmanagement #machinelearning #imageanalysis #AI

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #forest
  18. 💧🌏 Greg Cocks @[email protected] ·

    Protection Of U.S. Streams Is Insufficient To Safeguard Stream Diversity And Prevent Habitat Impairment
    --
    doi.org/10.1038/s44458-025-000 <-- shared paper
    --
    #water #surfacewater #USA #US #biodiversity #protection #streams #rivers #regulations #waterresources #watermanagement #waterquality #diversity #habitat #damage #risk #hazard #GlobalBiodiversityFramework #target #CONUS #spatialanalysis #geostatistics #geophysics #biogeographic #impacts #humanimpacts #conservation #watershed #upstream #impairment #evaluation #GAPStatus #catchment #metrics #agriculture #urban #industry #transportation #diversity

    #water #surfacewater #usa #us #biodiversity #protection
  19. 💧🌏 Greg Cocks @[email protected] ·

    A Study Debunks [sic] Decades Of Scientific Research - Underwater Canyons Are NOT Created By Rivers… And The Explanation Is Brutal
    --
    ecoticias.com/en/a-study-debun <-- shared technical article
    -
    doi.org/10.1126/sciadv.adv3942 <-- shared paper #GetNZOnTheMap
    -
    blogs.egu.eu/divisions/nh/2018 <-- shared interview transcript, “A journey to understand submarine canyons [and their related geohazards]”, European Geosciences Union (EGU.)
    --
    sustainableseaschallenge.co.nz <-- shared technical article, “Submarine Canyons - Connecting Coastal And Deep-Sea Ecosystems”
    --
    #spatial #mapping #model #modeling #moprhology #spatialanalysis #tectonics #continentalmargins #submarinecanyons #formation #river #hydrology #massmovement #processes #global #oceanfloor #geology #slumps #currents #seafloor #steepness #debrisflow #geohazard #ecosystems #sediment #movement #infrastructure #damage #valley #marine #underwater #geomorphology #geomorphometry #deepocean # #geostatistics #earthquake #gravity #erosion #continentalslope #biogeochemical #coast #coastal

    #spatial #mapping #model #modeling #moprhology #spatialanalysis
  20. 💧🌏 Greg Cocks @[email protected] ·

    Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
    --
    doi.org/10.1080/24694452.2025. <-- shared paper
    --
    #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

    #gis #spatial #mapping #flintslaw #guadalupemountainsnationalpark #longitudinal
  21. 💧🌏 Greg Cocks @[email protected] ·

    Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
    --
    doi.org/10.1080/24694452.2025. <-- shared paper
    --
    #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

    #gis #spatial #mapping #flintslaw #guadalupemountainsnationalpark #longitudinal
  22. 💧🌏 Greg Cocks @[email protected] ·

    Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
    --
    doi.org/10.1080/24694452.2025. <-- shared paper
    --
    #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

    #gis #spatial #mapping #flintslaw #guadalupemountainsnationalpark #longitudinal
  23. 💧🌏 Greg Cocks @[email protected] ·

    Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
    --
    doi.org/10.1080/24694452.2025. <-- shared paper
    --
    #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

    #newmexico #modeling #model #corrleation #knickpoints #steepness
  24. 💧🌏 Greg Cocks @GregCocks ·

    Controls On Longitudinal Stream Profile Evolution In Guadalupe Mountains National Park
    --
    doi.org/10.1080/24694452.2025. <-- shared paper
    --

    #gis #spatial #mapping #flintslaw #guadalupemountainsnationalpark #longitudinal
  25. 💧🌏 Greg Cocks @[email protected] ·

    Interpreting Hydrogeochemical Interactions And Controlling Processes In Groundwater Using Advanced Statistical Techniques In The Southeast Asian Megacity - Dhaka, Bangladesh
    --
    doi.org/10.1016/j.clwat.2025.1 <-- shared paper
    --
    #GIS #spatial #mapping #spatialanalysis #spatiotemporal #Hydrogeochemistry #Groundwater #Quality #Statistics #geostatistics #Analysis #Irrigation #suitability #water #hydrology #waterresources #statistics geostatistics #waterquality #model #modeling #potable #drinkingwater #urbanisation #city #growth #population #stress #planning #management #industrial #residential #geochemical #testing # Dhaka #Bangladesh #pumping #overpumping #drinking #irrigation #regional #WQI #multivariate #monitoring #contamination #pollution #assessment #watersecurity

    #gis #spatial #mapping #spatialanalysis #spatiotemporal #hydrogeochemistry
  26. 💧🌏 Greg Cocks @[email protected] ·

    The 2023 US 50-State National Seismic Hazard Model - Overview And Implications
    --
    usgs.gov/programs/earthquake-h <-- USGS technical article
    --
    doi.org/10.1177/87552930231215 <-- shared paper
    --
    #GIS #spatial #mapping #earthquake #seismichazard #risk #hazard #shakemap #cost #economics #geology #engineeringgeology #hazardmodel #model #modeling #seismicity #faultruptures #groundmotions #probabilistic #probability #geostatistics #engineering #planning #management #mitigation #NSHM #forecast #infrastructure #publicsafety #hazardassessment #fault #faulting #structuralgeology #intensity #mercalli #buildingcode #design #publicpolicy #shakemap #engineeringrisk #future
    @USGS @FEMA

    #hazard #shakemap #cost #economics #geology #engineeringgeology
  27. 💧🌏 Greg Cocks @[email protected] ·

    Rules Of River Avulsion Change Downstream
    --
    doi.org/10.1038/s41586-024-079 <-- shared paper
    --
    #GIS #spatial #mapping #river #water #hydrology #avulsion #geomorphology #geomorphometry #floodplain #flood #flooding #course #risk #hazard #elevation #topography #hydromorphic #hydrospatial #model #modeling #factors #coast #coastal #mountain #fan #riskassessment #global #spatialanalysis #management #mitigation #prediction #remotesensing #ICESat2 #FABDEM #Copernicus #algorithm #fluvial #alluvial #sediment #alluvium #sediment #machinelearning #graphdata #geostatistics #spatiotemporal

    #gis #spatial #river #mapping #water #hydrology
  28. Kathe Todd-Brown @[email protected] ·

    Geostatistics in soils are often ignored with significant opportunities for misinterpretation of carbon storage resulting from interventions. Slessarev etal 2023 doi.org/10.1111/gcb.16491 takes us back to stats class, highlighting regression to the mean effects and normalization artifacts. #SoilCarbon #SoilPractices #agricultural #CitationMine #Geostatistics #SciLit

    #soilcarbon #soilpractices #agricultural #citationmine #geostatistics #scilit