#geostatistics — Public Fediverse posts on home.social

💧🌏 Greg Cocks @[email protected] · 2026-08-18 · 03:21 UTC

Spatiotemporal Distribution, Climatic Factors, And Seasonal Precipitation Patterns Characterizing 66 Years Of Widespread Shallow Landslide Events In Piedmont (Northwestern Italy)
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https://doi.org/10.3389/feart.2026.1884300 <-- shared paper
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“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

💧🌏 Greg Cocks @[email protected] · 2026-08-07 · 04:46 UTC

Coastal Flooding At Predictable Hours
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https://doi.org/10.1038/s41467-026-75710-5 <-- shared paper
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H/T @bruna Alves | Nature Communications | Editor
“When do coastal floods happen? ⏱️🌊
A new study [link above] shows that, in many tide-dominated coastal regions, flooding tends to occur at specific and recurring times of day. Rather than being completely random, flood events often cluster around predictable hours driven by local tidal patterns.
By analysing coastal flood observations from the UK and the US, [the authors] show[ed] that the timing of flood events can be highly structured, with some locations experiencing floods disproportionately during certain parts of the day.
This adds a temporal dimension to coastal flood risk. We often focus on how frequently floods occur, how severe they are, and where they happen. This study highlights that when they occur may also matter, particularly as rising sea levels increase the frequency of coastal flooding.
The findings provide a useful perspective for coastal adaptation, risk communication, and emergency planning…”
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“Flooding is typically perceived as a sudden and unpredictable hazard. Here, [they] show that recurrent flooding can occur at highly predictable times in tidally dominated coastal systems. This predictability stems from phase-locking of tidal constituents and constituent pairs with the solar day, causing peak tides to recur at consistent local times set by regional tidal propagation. Using tide-gauge records from the United States and the United Kingdom, [they] quantif[ied] the intraday timing of coastal flood events and show strong clustering at specific hours, particularly where semidiurnal or mixed tides dominate. For example, floods in Boston cluster around noon and midnight, whereas in southern California they occur in the morning. Sites with stronger non-tidal variability show weaker clustering. This temporal predictability extends beyond nuisance flooding to larger consequential events involving inundation, road closures and infrastructural damage, highlighting opportunities for anticipatory risk communication, emergency planning and time-sensitive coastal adaptation…”
#coast #coastal #flood #flooding #spatialanalysis #spatiotemporal #time #statistics #geostatistics #tide #tidal #timing #temporal #floodrisk #risk #hazard #sealevel #sealevelrise #climatechange #emergency #planning #tideguage #UK #USA #innundation #infrastructure #transportation #riskcommunication

#coast #coastal #flood #flooding #spatialanalysis #spatiotemporal

💧🌏 Greg Cocks @[email protected] · 2026-06-09 · 15:13 UTC

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

#rainfallinduced #landslide #functionalregression #japan #earlywarningsystem #spacetimeprediction

💧🌏 Greg Cocks @[email protected] · 2026-05-12 · 04:28 UTC

Half Of European Municipalities Have Fewer Inhabitants Than 60 Years Ago
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https://correctiv.org/aktuelles/2026/04/21/die-haelfte-der-europaeischen-gemeinden-hat-weniger-einwohner-als-vor-60-jahren/ <-- shared technical / spatiotemporal article
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https://data.jrc.ec.europa.eu/dataset/37fcacbf-12e2-4b31-b1af-83117a74b2c7 <-- shared European Joint Research Centre (JRC) ARDECO Local Population Time-Series – 1961-2024
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#GIS #spatial #mapping #emptyspain #demographics #population #agingpopulation #declining #birthrate #immigration #emigration #shrinking #interactive #webmap #spatialanalysis #spatiotemporal #Europe #geostatistics #logistics #rural #urban #city #transportation #cost #economics #services #infrastructure #workers #qualityoflife #planning
@JointResearchCentre #JRC @europeancommission @correctiv_org

#gis #spatial #mapping #emptyspain #demographics #population

💧🌏 Greg Cocks @[email protected] · 2026-04-21 · 02:38 UTC

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

#volcano #lahar #evacuation #exposure #model #modeling

💧🌏 Greg Cocks @[email protected] · 2026-04-07 · 03:43 UTC

Scale Dependence In Remotely Sensed Biodiversity: Leveraging Continental-Scale Imaging Spectroscopy From The National Ecological Observatory Network [spatial analysis]
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https://doi.org/10.1002/rse2.70068 <-- shared paper
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https://doi.org/10.1038/s41559-022-01702-5 <-- shared paper
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#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

💧🌏 Greg Cocks @[email protected] · 2026-03-19 · 04:59 UTC

A Review Of Current Best Practices And Future Directions In Assimilating GRACE/-FO Terrestrial Water Storage Data Into Numerical Models
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https://doi.org/10.5194/hess-30-985-2026 <-- shared technical article/review 📖 🔗
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https://grace.jpl.nasa.gov/ <-- @nasa @JPL home page, Gravity Recovery and Climate Experiment (GRACE)
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#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

💧🌏 Greg Cocks @[email protected] · 2026-03-18 · 14:40 UTC

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

#earthquakerisk #gis #bangladesh #disastermanagement #seasia #spatial

💧🌏 Greg Cocks @[email protected] · 2026-03-13 · 02:34 UTC

Mapping of Closed Depressions in Karst Terrains - A GIS-Based Delineation of Endorheic Catchments in the Alburni Massif (Southern Apennine, Italy)
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https://doi.org/10.3390/hydrology12070186 <-- shared paper 🔗
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#doline #poljes #endorheic #karst #GIS #spatial #mapping #DEM #spatialanalysis #geomorphometry #morphometry #remotesensing #glacial #proglacial #glacier #tectonics #geology #water #hydrography #hydrology #hydrogeomorphic #groundwater #surfacewater #closeddepressions #overland #epigenic #subsurface #hypogenic #flow #landform #geomorphology #AlburniMassif #Apennines #Italy #spatialanalysis #elevation #geostatistics #structuralgeology #waterresources #watermanagement #recharge #modeling #tracertest #dyetest #mapping

#doline #poljes #endorheic #karst #gis #spatial

💧🌏 Greg Cocks @[email protected] · 2026-03-10 · 03:20 UTC

Drivers Of Forest Disturbance In Southeast Asia [incl. spatial analysis]
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https://doi.org/10.1016/j.jag.2026.105220 <-- shared paper 🔗
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https://github.com/shijuanchen/SEA_forest_dis <-- shared GitHub ‘data repository 🔗
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#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

💧🌏 Greg Cocks @[email protected] · 2026-03-03 · 03:12 UTC

Detection And Spatial Modelling Of Trends In UK Rainfall Frequency
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https://doi.org/10.1080/02626667.2026.2622458 <-- shared paper
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#GIS #spatial #mapping #extremeweather #rainfall #pluvial #frequency #trends #nonstationarity #extremevalue #model #modeling #monitoring #UnitedKingdom #UK #Britian #England #Scotland #Wales #precipitation #spatialanalysis #spatiotemporal #drainage #monitoring #planning #resilience #naturalhazards #flooding #flood #water #hydrology # #sewerage #sewage #wastewater #waterways #pollution #spills #releases #stormwater #erosion #massmovement #landslides #engineeringgeology #risk #hazard #climatic #covariates #raingauges #maximums #duration #winter #NorthernEngland #NorthAtlanticOscillation #NAO #index #metrics #annualmaximum #AMAX #seasonalmaximum #SMAX #peaksoverthreshold #POT #statistics #geostatistics #MetOffice #weather #climate

#gis #spatial #mapping #extremeweather #rainfall #pluvial

💧🌏 Greg Cocks @[email protected] · 2025-12-11 · 05:24 UTC

Sentinel-2 Based Estimates Of Rangeland Fractional Cover And Canopy Gap Class For The Western United States
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https://doi.org/10.1038/s41597-025-06160-9 <-- shared paper
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https://rangelands.app/products/rap10m/ <-- shared 10 metre Range Analysis platform overview
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[aside & totally anecdotal - I have ridden on the road in that last picture - near Sheridan, WY]
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#GIS #spatial #mapping #fedscience #fedservice #feddata #opendata #usecase #publicgood #rangeland #ecosystems #monitoring #spatialanalysis #spatiotemporal #US #USA #vegetation #satellite #remotesensing #earthobservation #Sentenial #Sentenial2 #canopy #fractionalcover #canopygap #landcover #landuse #grass #pinyon #juniper #opendata #raster #USWest #WesternStates #landsurface #tools #fielddata #model #modeling #BLM #USDA #statistics #geostatistics #RangelandAnalysisPlatform
@USDA @BLM

#gis #spatial #mapping #fedscience #fedservice #feddata

Planetary Ecologist @[email protected] · 2025-11-15 · 07:14 UTC

Point counting (geology) (Geology ⛰️)

In geology, point counting is a method to determine the proportion of an area that is covered by some objects of interest. In most cases the area is a thin section or a polished slab. The objects of interest vary between subdisciplines and can for example be quartz or feldspar grains in sedimentology, any type...

https://en.wikipedia.org/wiki/Point_counting_(geology)

#PointCounting #Geology #Petrology #Geostatistics #IgneousPetrology #GeologicalTechniques