Name: Spatial Econometric Methods in Agricultural Economics Using r (en Inglés)
SKU: 55610556
Price: 678.84 PEN
Availability: InStock
Author: Paolo Postiglione
ISBN: 9781498766814

portada Spatial Econometric Methods in Agricultural Economics Using r (en Inglés)

Spatial Econometric Methods in Agricultural Economics Using r (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Paolo Postiglione

Idioma

Inglés

N° páginas

286

Encuadernación

Tapa Dura

ISBN13

9781498766814

N° edición

Spatial Econometric Methods in Agricultural Economics Using r (en Inglés)

Paolo Postiglione (Autor) · Crc Press · Tapa Dura

Más barato Libro Nuevo Importado

Envío: 21 a 26 días háb.

S/ 1.508,53S/ 678,84

-55%

Más rápido Libro Nuevo Importado

Envío: 13 a 18 días háb.

S/ 1.815,85S/ 817,13

-55%

Costos de importación incluídos en el precio ✅

Libro Nuevo Más barato

Quedan más de 100 unidades

S/ 678,84

Llega entre el 26 Nov y el 04 Dic a CERCADO DE LIMA, Lima. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Spatial Econometric Methods in Agricultural Economics Using r (en Inglés)"

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.