Sampling properties of spatial total estimators under tessellation stratified designs

Barabesi, Lucio; Franceschi, Sara

doi:10.1002/env.1046

Cited by 68 publications

(46 citation statements)

References 11 publications

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“…The localization of sampling points is carried out according to a tessellation stratified sampling design (also known as unaligned systematic sampling), preferable than simple random or systematic grid sampling (Barabesi & Franceschi 2011).…”

Section: Sampling Schemementioning

confidence: 99%

Land use inventory as framework for environmental accounting: an application in Italy

Corona¹,

Barbati²,

Tomao³

et al. 2012

iForest

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© iForest -Biogeosciences and Forestry IntroductionLand use inventories are sound measures to provide information on the area occupied by different land use or land cover types and their changes, although less widespread than traditional mapping. The use of formal statistical procedures allows land use inventory to straightforwardly provide area figures along with uncertainty estimates: this is an important advantage in comparison to other land-use area assessment methods, as the reliability of such figures can be quantitatively evaluated (Corona et al. 2007, Corona 2010.Distinctively, land use inventories are wellestablished tools for generating statistics on the state and the dynamics of land use in the European Union: for instance, the Program Land Use/Cover Area frame statistical Survey (LUCAS, Decision N°1445/2000/EC of the European Parliament and the Council) provides harmonized data on land use/cover and their changes over time in the 27 EU countries based on direct observations gathered through ground survey in the framework of area-frame sampling scheme.Italy is one of the first European countries that have adopted statistical systems to monitor land use changes earlier than the proliferation of mapping initiatives, thanks to the AGRIT project (http://www.itacon.it). More recently, the Italian Ministry of Environment, Land and Sea has implemented the land use inventory (Inventario dell'Uso delle Terre -IUTI) as a key instrument of the National Registry for forest carbon sinks. The Registry is part of the national system for the Italian greenhouse gas inventory, which includes all institutional, legal and procedural arrangements for accounting anthropogenic emissions by sources and removals by sinks of greenhouse gases (GHG) under the United Nation Framework Convention on Climate Change and its Kyoto Protocol (ISPRA 2011). Italy has elected forest management (Article 3.4) as activities eligible for the first commitment period, thus assigning to forest sector a leading role in the fulfilment of the Italian target under the Kyoto Protocol. Accordingly, the latest Italian National Forest Inventory (NFI) has been conceived as main data source for accounting removals/emissions of GHG in forest land (see http:// www.infc.it), e.g., by adopting the FAO The National Registry for carbon sinks integrates the NFI sample set within a bundle of integrated tools aimed at estimating greenhouse gases removals/emissions associated to activities under articles 3.3 (afforestation, reforestation and deforestation) and ), due to forest land conversion mainly into artificial areas; (ii) consumption of arable land (-4.2% of the Italian territory) primarily due to land uptake by urban areas and to conversions to permanent crops (mainly orchards and vineyards); (iii) urban sprawl uptakes 1.6% of the Italian territory in this period, with a total coverage of settlements reaching 7.1% of total land surface in Italy in 2008. Overall, land use dynamic results in land uptake by forest land is of the same magnitude of land uptake by u...

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Section: Sampling Schemementioning

confidence: 99%

Land use inventory as framework for environmental accounting: an application in Italy

Corona¹,

Barbati²,

Tomao³

et al. 2012

iForest

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“…I punti di sondaggio sono stati localizzati secondo uno schema di campionamento stratificato per tasselli (tessellated stratified sampling), noto anche come campionamento sistematico non allineato, che garantisce uniformità nella distribuzione spaziale del campione e, al contempo, presenta proprietà statistiche preferibili rispetto a quelle del campionamento casuale semplice e del campionamento sistematico allineato (Barabesi & Franceschi 2011).…”

Section: Schema DI Campionamentounclassified

Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy

Marchetti¹,

Bertani²,

Corona³

et al. 2012

Forest@

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IntroduzioneGli inventari di uso del suolo o delle terre rappresentano una valida alternativa alle tradizionali cartografie, ma vengono realizzati in misura minore rispetto alle carte tematiche a mappatura totale. In particolare, sono da tempo utilizzati nelle statistiche del settore agricolo dove sono necessarie informazioni costantemente aggiornate sull'utilizzo dei suoli (Gallego & Carfagna 1998), e in contesti multidisciplinari, soprattutto nei Paesi in via di sviluppo, dove gli approcci cartografico e inventariale vengono integrati e precipuamente sviluppati con il fine dello studio delle capacità e attitudine d'uso delle terre (Dent & Young 1981).La realizzazione di cartografie di uso del suolo è un processo lungo, costoso, e non ancora completamente affidabile sul piano della correttezza quantitativa, poiché la verifica dell'accuratezza della cartografia può costare più della sua stessa realizzazione. La ricerca di nuove metodologie diviene quindi esigenza di primaria importanza. Gli inventari di uso delle terre possono rispondere a questa esigenza con il grande vantaggio del veloce aggiornamento. Se condotti mediante un elevato numero di unità campionarie, essi possono inoltre, su piccole scale di lavoro quali quella nazionale, contribuire alla localizzazione dei fenomeni, oltre che alla loro quantificazione, per la quale sono ideali, avvicinandosi alla peculiarità delle carte tematiche. Il principale obiettivo è comunque di fornire dati con attendibilità definita e accettabile della stima (Carfagna & Gallego 2005), dando modo di utilizzare questi dati per molteplici applicazioni: dall'analisi del paesaggio, alla pianificazione ecologica del territorio, alla definizione di politiche di programmazione agricola, alla pianificazione dello sviluppo urbanistico (DeFries & Eshle-

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“…Following Barabesi and Franceschi (2010) a useful definition of the estimate for τ at sample location u isτ…”

Section: Triangulation Based Inclusion Probabilities (Tbip)mentioning

confidence: 99%

“…Obviously, more improved schemes, based on stratification of A, might be considered for the replicated placement of sampling locations (Gregoire and Valentine 2008;Barabesi and Franceschi 2010). Obviously, the estimatorτ n is unbiased for τ and unbiased variance estimation is available since theτ (U i )'s are in turn unbiased for τ .…”

Section: Triangulation Based Inclusion Probabilities (Tbip)mentioning

confidence: 99%

Triangulation based inclusion probabilities: a design-unbiased sampling approach

2011

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A probabilistic sampling approach for design-unbiased estimation of arearelated quantitative characteristics of spatially dispersed population units is proposed. The developed field protocol includes a fixed number of 3 units per sampling location and is based on partial triangulations over their natural neighbors to derive the individual inclusion probabilities. The performance of the proposed design is tested in comparison to fixed area sample plots in a simulation with two forest stands. Evaluation is based on a general approach for areal sampling in which all characteristics of the resulting population of possible samples is derived analytically by means of a complete tessellation of the areal sampling frame. The example simulation shows promising results. Expected errors under this design are comparable to sample plots including a much greater number of trees per plot.

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Sampling properties of spatial total estimators under tessellation stratified designs

Cited by 68 publications

References 11 publications

Land use inventory as framework for environmental accounting: an application in Italy

Land use inventory as framework for environmental accounting: an application in Italy

Changes of forest coverage and land uses as assessed by the inventory of land uses in Italy

Triangulation based inclusion probabilities: a design-unbiased sampling approach

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