eprintid: 742
rev_number: 9
eprint_status: archive
userid: 17
dir: disk0/00/00/07/42
datestamp: 2018-07-22 17:46:32
lastmod: 2018-07-22 17:46:32
status_changed: 2018-07-22 17:46:32
type: report
metadata_visibility: show
creators_name: Araújo, A.
creators_name: Gavina, Alexandra
creators_name: Tavares, Ana
creators_name: Cerdeira, J. Orestes
creators_name: Santos, Jorge
creators_name: Cruz, Manuel
creators_name: Barbeiro, Silvia
corp_creators: Catarina Silva
corp_creators: Isabel Pinto
title: Definition of the productivity regions
ispublished: pub
subjects: data
subjects: food
studygroups: esgi127
companyname: RAIZ
full_text_status: public
abstract: Eucalyptus productivity is strongly related with climate and soil types of the area where it is planted. To accurately assess the potential productivity of that species in Portugal, plantations were monitored at different management units compartments (MUC) at several locations all over Portugal. Certain indices of productivity of the Eucalyptus at each MUC were recorded, as well as the type of climate and soil characteristics of the region. Both climate and soil, factors that affects Eucalyptus grow, were classified in in ten classes 1, 2, . . . , 10 of expected growing productivity for the Euca- lyptus. Thus, every MUC belongs to a unique pair (c, s), with 1 \leq c \leq 10 and 1 \leq s \leq 10 indicating the type of climate and the type of soil of the region where MUC is located, respectively, and it is expected that to have high (low) productivity indices when c and s are both close to 10 (1).
The aim of this work is to identify regions that have similar productivity levels based on the classifications of soil and climate types and to check if the available data provided by RAIZ show that those factors affect the productivity indices.
During the 5-days ESGI this team worked on the datasets provided by RAIZ, presented an update for the existing MAI productivity chart and developed new clusters for the Density, Yeld and Consumption productivity indices. The definition of some quality measures for the clusters, allowed to compare the different approaches and also point out some fragilities on the datasets. Indeed, a review of classification regarding climate and/or soil characteristics is suggested, as well as the need of a bigger sample for the Density, Yeld and Consumption productivity indices in order to get more reliable outputs.
date: 2017
date_type: completed
citation:   Araújo, A. and Gavina, Alexandra and Tavares, Ana and Cerdeira, J. Orestes and Santos, Jorge and Cruz, Manuel and Barbeiro, Silvia  (2017) Definition of the productivity regions.  [Study Group Report]     
document_url: http://miis.maths.ox.ac.uk/miis/742/1/raiz_definition-of-the-productivity-of-regions.pdf