Interpolating station data
Kriging and related methods estimate rainfall or temperature between stations using elevation and other covariates, with a prediction variance mapped beside each field.
GCRI · Avhewa û metirsî
Spatial statistics and geostatistics interpolate, smooth and compare hazard data across space. In this field they turn scattered stations into gridded fields with uncertainty, detect spatial patterns in events, and combine sources of different resolution.
Spatial statistics and geostatistics analyse data that vary across space, accounting for spatial dependence. They estimate values at unsampled locations and test for spatial patterns. In climate and hazards and disaster and crisis, spatial statistics produce continuous hazard and exposure surfaces with uncertainty. They reveal geographic clustering of risks and vulnerabilities across sectors. The canonical description is on STEM Commons.
Kriging and related methods estimate rainfall or temperature between stations using elevation and other covariates, with a prediction variance mapped beside each field.
Satellite estimates are corrected with gauge observations through statistical blending, so that fields keep satellite coverage and gauge accuracy.
Landslide or fire occurrences are tested for clustering and related to terrain and climate covariates.
Flood water, daytime surface heat and rain across the world, from NASA GIBS. Each layer carries its own date.
Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.
Qat 3
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Klavye, dema ku nexşe di fokusê de ye
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Ya herî dawî ya heyî
NASA GIBS / EOSDIS · ASTER GDEM (METI, NASA) · Blue Marble (NASA) · © OpenStreetMap contributors (ODbL) · Natural Earth
Wêneyên herî nû yên NASA tê barkirin.
Bikişîne da ku bilivîne. Ctrl an ⌘ û zivirandin, pincandin an bişkojkan ji bo nêzîkkirinê; ji bo nirxên di bin nîşanderê de li ser bisekine; vegerandin vedigere herêmê.
Nîşanên avhewa, li ser cîhanê hatine çarçovekirin.Berhemên peyk û modelê wekî NASA diweşîne, her yek bi dîroka xwe. Nîşander in, ne nirxandinên tu cihî ne.
Qat û dîrok
Datasets and records used by spatial statistics and geostatistics on this platform, with the role each plays and the label its values carry. Sources are listed in the source register.
| Dane | Rol | Nîşan |
|---|---|---|
| Station networks | Point observations | ÇAVDÊRÎKIRÎ |
| Digital elevation models | Covariates | ÇAVDÊRÎKIRÎ |
| Satellite precipitation | Spatial coverage | TEXMÎNKIRÎ |
| Event inventories | Point patterns | REPORTED |
The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.
Predictions are tested using spatial cross-validation that respects dependence. Uncertainty maps are compared with independent observations.
| Kontrol bikin | How it is done |
|---|---|
| Cross-validation | Stations are withheld in turn and predicted from the rest to measure interpolation error |
| Variogram review | Spatial dependence models are examined and justified |
| Uncertainty maps | Prediction variance is mapped with every interpolated field |
Results depend on the scale and zoning of analysis. Sparse or clustered sampling limits prediction in unsampled areas.
Assembled from the Nexus Standards area profile Standardên xetera avhewa: the hazards it names, the pergalan and sectors that carry the loss, the controls that dampen it and the data that observe it. Choose the components, pick an initiating hazard and step through the cascade. The Map view places the run on an example geography with open data. Every coupling weight is a stated assumption you can change. A teaching model, not a forecast, an assessment or a certification. To model a place of your own choosing, open the full System Builder.
Metirsî
Pergal û girêdan
Kontrol
NS-0 Destûr û prensîbNS-1 Çavdêrxaneya UNI û kataloga berheman (rêzimana v0.2: beşên qad, sektor, herêm û jîngehê)NS-3 UNIyên tomara xetereyê (rêzimanî, nexşeya veguhastina ji pergala kevin, desthilata veqetandinê)NS-3b Profîla metadata ya daneset û berheman (STAC, DCAT, PROV-O)NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)NS-14 Lihevhatin û nexşeya li standardên derveyîNRS-H65 Malbata metirsiyê: Binpêkirinên sînorên gerstêrkê (NHS-1 planet.boundary)NRS-H62 Malbata metirsiyê: Bûyerên tevhev û pir-metirsî (NHS-1 sys.compound)NRS-H71 Malbata metirsiyê: Felaketên kozmîk û yên dema kûr (NHS-1 planet.deep-time)NRS-H79 Malbata metirsiyê: Krîzên tenduristiya derûnî (NHS-1 health.mental)NRS-H75 Malbata metirsiyê: Nexweşiyên hesas li hember avhewayê (NHS-1 health.climate-sensitive)NRS-H7 Malbata metirsiyê: Anomaliyên gera mezin (NHS-1 atmo.climate-mode)Çavdêrî
Erdnîgariya mînakê
Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.
How far the outlook for spatial statistics for hazards could spread, shown as ranges rather than a single line.
Ezman û Çavdêriya Erdê stewards spatial statistics and geostatistics for the Consortium and reviews how it is applied across platforms.
Process explorer · Process
7 steps·4 qonax·1 gate
Pêvajo
Layers enter with their rights, are aligned, analysed and checked for uncertainty, then released after public-safe review; a map is a governed spatial claim.
Spatio-temporal intelligence · Data protocols: semantic, jurisdictional and temporal intelligence · NXS-EOPDesigned programme process, not a record of operation. No cycle has run and every programme is at service level R0. A gate is a programme decision, never a public-authority approval, certification or deployment authorisation. The pages cited are design doctrine.
rêzeya Pergalên Stratejîk is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.
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