Bias-corrected distribution surfaces
Point process models with sampling-effort covariates separate where species occur from where people look for them, and report prediction uncertainty by cell.
GCRI · Biodiversity Nexus
Biodiversity data are clustered, unevenly sampled and dependent from place to place. Spatial statistics accounts for that dependence, interpolates between sparse samples, detects hotspots and gives every map an uncertainty surface, so that gaps in sampling are not mistaken for gaps in nature.
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 biodiversity and nature, climate and hazards and oceans and coasts, 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.
Point process models with sampling-effort covariates separate where species occur from where people look for them, and report prediction uncertainty by cell.
Local spatial autocorrelation statistics identify clusters of forest loss, species decline or overlapping threats, tested against randomised expectations.
Kriging and spatial regression estimate soil carbon, water quality or species richness between plots, with variance maps published beside the estimates.
Vegetation, land cover and plant growth over the Amazon Basin, from NASA GIBS. Each layer carries its own date.
Nexşeya înteraktîf JavaScript hewce dike; lîsteya qatan û çavkanî li jêr in.
Qat 3
Rewşa jîngehê, ji bo vê rûpelê
Klavye, dema ku nexşe di fokusê de ye
Ctrl an ⌘ bigire û bizivirîne da ku nêzîk bikî
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.
Habitat condition, framed on the Amazon Basin.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 |
|---|---|---|
| Occurrence records with effort metadata | Bias correction | ÇAVDÊRÎKIRÎ |
| Field plots and transects | Interpolation and model fitting | ÇAVDÊRÎKIRÎ |
| Remote sensing covariates | Predictors for spatial models | ÇAVDÊRÎKIRÎ |
| Administrative and ecosystem reporting units | Aggregation and reporting | Statîstîkên weşandî |
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 |
|---|---|
| Spatial cross-validation | Test data are held out in spatial blocks so that dependence does not inflate skill |
| Residual autocorrelation | Model residuals are tested for remaining spatial structure |
| Scale sensitivity | Results are compared across grid sizes and zonings to expose the effects of aggregation |
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 cûrbecûrbûna jîndaran û xwezayê: 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-5 Figure, map and visualisation standard (with the UI/UX kit)NS-9 UNI yên çarçoveyî (belavkirin, mînak, mînakên bernameyê)NS-11 Piştrastkirin û çavdêrî (delîl, erêkirin, çavdêriya lihevhatina zero-trust)NRS-N5 Xetera cûrbecûrbûna jîndaran û xwezayê û berxwedanNRS-H65 Malbata metirsiyê: Binpêkirinên sînorên gerstêrkê (NHS-1 planet.boundary)NRS-H27 Malbata metirsiyê: Zexta li ser cûrbecûrbûna jîndaran û cureyan (NHS-1 eco.species)NRS-H26 Malbata metirsiyê: Xirabûna erd û erdên şil (NHS-1 eco.land)NRS-H28 Malbata metirsiyê: Guherînên rewşa avhewayê (NHS-1 eco.climate-state)NRS-H64 Malbata metirsiyê: Guherînên rejîma ekosîstemê (NHS-1 eco.regime-shift)Çavdêrî
Erdnîgariya mînakê
The sectors spatial statistics for biodiversity touches and how strongly they depend on each other: what a study has to observe and model together.
Îmze
Cûrbecûrbûna jîndaran û hevkarên wê
Cûrbecûrbûna jîndaran tozkirin û axê dide xwarinê (0.6), rêkxistina hewzê avê dide avê (0.5) û derbasbûna zoonotîk û dermanan dide tenduristiyê (0.4).
W · E · I · F · H · B
Ezman û Çavdêriya Erdê stewards spatial statistics and geostatistics for the Consortium and reviews how it is applied across platforms.
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 a satellite or sensor record becomes evidence on spatial statistics for biodiversity, and where each step adds uncertainty.
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.
Tu carî daneyên şexsî, hûrgiliyên binesaza hesas an tiştekî ku mafê we yê parvekirinê tune ne neşînin. Beşdarî berî bikaranînê tê nirxandin; şandina wê nivîskarî an mafên edîtorî nade û sponsorî tu carî encamekê nakire.
Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.
Nexşe, dane û jimarên vê malperê ji bo çarçoveyê û agahiyên giştî têne nîşandan. Ew ne şîret, ne pêşbînî û ne hişyarî ne; sînorên agahiyê di Daxuyaniyên Berpirsiyariyê û Daxuyaniyên Daneyê de hatine diyarkirin.
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