TY - JOUR
AU - 
AB - Received January 5, 2020, accepted April 17, 2020, date of publication May 4, 2020, date of current version May 20, 2020. Digital Object Identifier 10.1109/ACCESS.2020.2992255 Multi-Dimensional Data Preparation: A Process to Support Vulnerability Analysis and Climate Change Adaptation 1 2 1 IVÁN DARíO LÓPEZ , APOLINAR FIGUEROA , AND JUAN CARLOS CORRALES Telematics Engineering Group, Campus Tulcán, University of Cauca, Popayán 190002, Colombia Environmental Studies Group, Campus Tulcán, University of Cauca, Popayán 190002, Colombia Corresponding author: Iván Darío López (navis@unicauca.edu.co) This work was nanced by the project ``Alternativas Innovadoras de Agricultura Inteligente para sistemas productivos agrícolas del departamento del Cauca soportado en entornos de IoT'' [grant number: VRI ID4633] and the Water Security and Sustainable Development Hub which is funded by the UK Research and Innovation's Global Challenges Research Fund (GCRF) [grant number: ES/S008179/1]. ABSTRACT Agriculture is the backbone of a country's economic system, considering that it not only provides food and raw materials but also employment opportunities for a large percentage of the population. In this way, determining the degree of agricultural vulnerability represents a guide for sustainability and adaptability focused on changing future conditions. In many cases, vulnerability analysis data is restricted to use by authorized personnel 
TI - Multi-Dimensional Data Preparation: A Process to Support Vulnerability Analysis and Climate Change Adaptation
JF - IEEE Access
DO - 10.1109/access.2020.2992255
DA - 2020-01-01
UR - https://www.deepdyve.com/lp/unpaywall/multi-dimensional-data-preparation-a-process-to-support-vulnerability-CieoqOnRT1
DP - DeepDyve
ER -