#geostatistics — Public Fediverse posts on home.social

💧🌏 Greg Cocks @[email protected] · 2026-07-15 · 02:49 UTC

Mapping Deforestation Probability And Understanding The Forest Dynamics In Gazipur, Bangladesh
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https://doi.org/10.1016/j.envc.2026.101568 <-- shared paper
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"ABSTRACT: Deforestation is a spiralling environmental catastrophe with impervious results for biodiversity, climate change, and human livelihoods, specifically in tropical regions. Being a tropical country, Bangladesh has experienced approximately 40% loss of its forest cover, at Gazipur since 1930, which contains about 86% of the country's Sal (Shorea robusta) forest, ranging approximately 4,300 hectares per year (2001–2010) to over 19,500 hectares per year (2011–2020), exemplifying an intensification of nearly 353%. The objective of this study is to map deforestation probability at the Gazipur district of Dhaka Division, Bangladesh, by utilising machine learning algorithms along with multi-source geospatial data, with the purpose of identifying high-risk zones and facilitating evidence-based forest governance, land-use development, and prioritizing conservation areas. This study integrated twelve conditioning factors, including biophysical, landscape, and anthropogenic. To identify susceptible zones the study trained and assessed five machine learning algorithms; RF, XGBoost, ANN, NB, and MLP and validating the result through different metrics like sensitivity, specificity, precision, accuracy, F1-score, AUC. The performance of the models was evaluated using Wilcoxon signed-rank tests and marginal response curves (MRC) were used to understand factor contributions. In the result, RF achieved highest performance with accuracy of 84% and AUC of 0.93, followed by XGBoost at 83% accuracy and 0.92 AUC. Rainfall and population density were most dominant conditioning factors among models. Pairwise statistical testing resulted that ensemble-based algorithms (RF, XGBoost) generated statistically comparable and significantly higher predictions compared to NB and MLP. Spatial probability maps indicate areas of high and very high risk in the south-western and north-eastern upazilas. The results can be applicable for forest management authorities, urban planners, and policymakers, and correspond with SDG Indicator 15. An inclusive governance framework containing land zoning, ecological area identification, and compliance with industrial EIA is proposed to persuade probability maps into adaptive forest management strategies…”
#deforestation #probability #machinelearning #algorithms #AI #Gazipur #Bangladesh #GIS #spatial #mapping #spatialanalysis #spatiotemporal #rainfall #precipitation #humanimpacts #populationpressure #risk #prediction #RandomForest #conservation #restoration #environment #biodiversity, #climatechange #human #livelihood #tropical #forestcover #sal #forest #vegetation #tree #upazila #spatialprobability #geostatistics #forestmanagement #planning #policy #urbanplanners #governance #zoning #ecology #habitat

#deforestation #probability #machinelearning #algorithms #ai #gazipur

💧🌏 Greg Cocks @[email protected] · 2026-06-10 · 03:39 UTC

Decoupling Of Surface Water Storage From Precipitation In Global Drylands Due To Anthropogenic Activity
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https://doi.org/10.1038/s44221-024-00367-7 <-- shared paper
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“The availability of surface water in global drylands is essential for both human society and ecosystems. However, the long-term drivers of change in surface water storage, particularly those related to anthropogenic activities, remain unclear. Here [they] use[d] multi-mission remote sensing data to construct monthly time series of water storage changes from 1985 to 2020 for 105,400 lakes and reservoirs in global drylands. An increase of 2.20 km³ per year in surface water storage is found primarily due to the construction of new reservoirs. For lakes and old reservoirs (constructed before 1983), conversely, the trend in storage is minor when aggregated globally, but they dominate surface water storage trends in 91% of individual global dryland basins. Further analysis reveals that long-term storage changes in these water bodies are primarily linked to anthropogenic factors - including human-induced warming and water-management practices - rather than to precipitation changes, as previously thought. These findings reveal a decoupling of surface water storage from precipitation in global drylands, raising concerns about societal and ecosystem sustainability…”
#water #hydrology #hydrography #waterstorage #waterresources #surfacewater #global #drylands #precipitation #rainfall #watersecurity #ecosystems #habitat #publichealth #anthropogenic #GIS #spatial #mapping #remotesensing #earthobservation #spatiotemporal #spatialanalysis #monitoring #geostatistics #engineering #reservoirs #infrastructure #lakes #waterbodies #globalwarming #climatechange #sustainability #planning #baseline

#water #hydrology #hydrography #waterstorage #waterresources #surfacewater

💧🌏 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] · 2026-05-01 · 03:19 UTC

Missing [Survey, etc] Data Can Be A Geographic Phenomenon
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https://doi.org/10.1080/24694452.2026.2640220 <-- shared paper
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#GIS #mapping #spatial #DataScience #missing #data #spatial #AAG #autocorrelation #geographicallyweightedregression #GWR #imputation #missingdata #survey #surveynonresponse #incomplete #surveyquestions #ethnicity #income #spatialdata #alldataisspatial #UK #FinancialLives #geography #spatialanalysis #geostatistics #location #imputing #statistics #dataset #DataImputation #MissingData #DataCleaning #DataPreprocessing #DataWrangling #DataQuality #DataEngineering #FinancialData #FinancialAnalytics #FinincialModeling #FinDataScience

#gis #mapping #spatial #datascience #missing #data

💧🌏 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] · 2026-03-19 · 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] · 2026-03-14 · 01:32 UTC

Populus Tremuloides [Aka Aspen] As A Natural Fire Barrier In Canada’s Boreal Forest Under A Changing Climate
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https://doi.org/10.1016/j.foreco.2026.123671 <-- shared paper 🔗
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#GIS #spatial #mapping #flammable #barrier #extremeweather #fireweather #fireactivity #wildfire #bushfire #fire #firebreak #FireKnowledge #FireEcology #AspenTrees #Canada #spatialanalysis #spatiotemporal #forest #risk #hazard #damage #climatechange #warming #tree #mixed #diversity #species #perimeter #ecozones #ecology #geostatistics #forest #forestcover #burn #severity #stand #burnarea #management #aspen #populustremuloides #Fireactivity #Burnseverity #Fireweather #Deciduous #Phenology
#NRCANScience #NRCAN #NaturalResourcesCanada

#gis #spatial #mapping #flammable #barrier #extremeweather

💧🌏 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] · 2026-02-24 · 03:53 UTC

Challenges In Comparing National Forest Statistics - Canada As A Case Study
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📑 https://pubs.cif-ifc.org/doi/abs/10.5558/tfc2026-006 <-- shared paper
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H/T Michael Wulder |Senior Research Scientist at Natural Resources Canada
“Canada is a forest nation. Its forests are spatially extensive, ecologically diverse, and of global importance. While national level forest statistics are used for international reporting and comparison, they often fail to reflect the distinctive structure and stewardship context of Canada’s forest estate, which includes millions of hectares of remote, unmanaged forests alongside actively managed zones governed by provincial and territorial stewardship frameworks...”
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#forest #Canada #national #geostatistics #forestestate #remote #unmanaged #contrast #managed #harvesting #naturalresources #resource #spatialanalysis #spatiotemporal #GIS #spatial #mapping #assessment #value #metrics #stewardship #management #monitoring #statistics #health #foresthealth #science
#NRCAN #NRCANScience #NaturalResourcesCanada

#forest #canada #national #geostatistics #forestestate #remote

💧🌏 Greg Cocks @[email protected] · 2026-02-06 · 03:41 UTC

Changes In Dominant Streamflow Drivers As Network-Scale Flow Regime Shifts From Intermittent To Ephemeral Across A Multi-Year Drought
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https://doi.org/10.1002/hyp.70413 <-- shared paper
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#GIS #spatial #mapping #water #hydrology #fluvial #pluvial #precipitation #extremeweather #California #USA #semiarid #watershed #headwaters #weather #metrology #spatialanalysis #spatiotemporal #model #modeling #geostatistics #monitoring #sensors #instrumentation #insitu #drought #streamflow #ephemeral #intermittent #catchments #waterresources #watermanagement #watersecurity #planning
#coast #coastal #hydrogeomorphic #geology #climate

#gis #spatial #mapping #water #hydrology #fluvial

💧🌏 Greg Cocks @[email protected] · 2025-12-23 · 03:09 UTC

A Study Debunks [sic] Decades Of Scientific Research - Underwater Canyons Are NOT Created By Rivers… And The Explanation Is Brutal
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https://www.ecoticias.com/en/a-study-debunks-decades-of-scientific-research-underwater-canyons-are-not-created-by-rivers-and-the-explanation-is-brutal/24721/ <-- shared technical article
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https://doi.org/10.1126/sciadv.adv3942 <-- shared paper #GetNZOnTheMap
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https://blogs.egu.eu/divisions/nh/2018/02/05/twenty-or-more-leagues-under-the-sea-a-journey-to-understand-submarine-canyons/ <-- shared interview transcript, “A journey to understand submarine canyons [and their related geohazards]”, European Geosciences Union (EGU.)
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https://www.sustainableseaschallenge.co.nz/our-research/submarine-canyons-connecting-coastal-and-deep-sea-ecosystems <-- shared technical article, “Submarine Canyons - Connecting Coastal And Deep-Sea Ecosystems”
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#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

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