Spatial Econometric Methods in Agricultural Economics Using R (e-bok)
Format
E-bok
Filformat
PDF med LCP-kryptering (0.0 MB)
Om LCP-kryptering
PDF-böcker lämpar sig inte för läsning på små skärmar, t ex mobiler.
Nedladdning
Kan laddas ned under 24 månader, dock max 6 gånger.
Språk
Engelska
Antal sidor
286
Utgivningsdatum
2021-12-22
Förlag
CRC Press
ISBN
9781498766838

Spatial Econometric Methods in Agricultural Economics Using R E-bok

E-bok (PDF, LCP),  Engelska, 2021-12-22
740
Läs i Bokus Reader för iOS och Android
Finns även som
Visa alla 3 format & utgåvor
Modern tools, such as GIS and remote sensing, are increasingly used in the monitoring of agricultural resources. The developments in GIS technology offer growing opportunities to agricultural economics analysts dealing with large and detailed spatial databases, allowing them to combine spatial information from different sources and to produce different models. The availability of these valuable sources of information makes the advanced models suggested in the spatial statistic and econometric literature applicable to agricultural economics.This book aims at supporting stakeholders to design spatial surveys for agricultural data and/or to analyse the geographically collected data.This book attempts to describe the main typology of agricultural data and the most appropriate methods for the analysis, together with a detailed description of the available data sources and their collection methods. Topics such as spatial interpolation, point patterns, spatial autocorrelation, survey data analysis, small area estimation, regional data modelling, and spatial econometrics techniques are covered jointly with issues arising from the integration of several data types.The theory of spatial methods is complemented by real and/or simulated examples implemented through the open-source software R.
Visa hela texten

Kundrecensioner

Har du läst boken? Sätt ditt betyg »

Fler böcker av Paolo Postiglione

  • Sampling Spatial Units for Agricultural Surveys

    Roberto Benedetti, Federica Piersimoni, Paolo Postiglione

    The research and its outcomes presented here focus on spatial sampling of agricultural resources. The authors introduce sampling designs and methods for producing accurate estimates of crop production for harvests across different regions and coun...