Search results for "Regression"
showing 10 items of 2619 documents
ANALYSING RELATIONSHIPS BETWEEN URBAN LAND USE FRAGMENTATION METRICS AND SOCIO-ECONOMIC VARIABLES
2016
Abstract. Analysing urban regions is essential for their correct monitoring and planning. This is mainly accounted for the sharp increase of people living in urban areas, and consequently, the need to manage them. At the same time there has been a rise in the use of spatial and statistical datasets, such as the Urban Atlas, which offers high-resolution urban land use maps obtained from satellite imagery, and the Urban Audit, which provides statistics of European cities and their surroundings. In this study, we analyse the relations between urban fragmentation metrics derived from Land Use and Land Cover (LULC) data from the Urban Atlas dataset, and socio-economic data from the Urban Audit f…
CHOOSING OF OPTIMAL REFERENCE SAMPLES FOR BOREAL LAKE CHLOROPHYLL A CONCENTRATION MODELING USING AERIAL HYPERSPECTRAL DATA
2018
Abstract. Optical remote sensing has potential to overcome the limitations of point estimations of lake water quality by providing spatial and temporal information. In open ocean waters the optical properties are dominated by phytoplankton density, while the relationship between color and the constituents is more complicated in inland waters varying regionally and seasonally. Concerning the difficulties relating to comprehensive modeling of complex inland and coastal waters, the alternative approach is considered in this paper: the raw digital numbers (DN) recorded using aerial remote hyperspectral sensing are used without corrections and derived by means of regression modeling to predict C…
DIF in the Spanish Version of the Verbal Selective Reminding Test Using Samples From Hispanics in the United States, Mexicans, and Spaniards
2019
Before a test can be used in the target population, it is necessary to demonstrate that there is measurement equivalence. One way to do this is by studying differential item functioning. Objective: In this study, we used the Mantel-Haenszel procedure and logistic regression to analyze DIF in the Spanish version of the Verbal Selective Reminding Test between Spaniards, Mexicans and Hispanics in the United States. Method: Three balanced samples, matched by age, education and sex, were studied: Spaniards, Mexicans and Hispanics (616 healthy participants from Spain (n = 211), Mexico (n = 201) and the United States (n = 205). A six-trial version of the Spanish version of the Verbal Selective Rem…
Recent climate change in Japan ? spatial and temporal characteristics of trends of temperature
2008
Abstract. In this paper temperature series of Japan were statistically analysed in order to answer the question whether recent climate change can be proved for Japan; the results were compared and discussed with the global trends. The observations in Japan started for some stations in the 1870s, 59 stations are available since 1901, 136 stations since 1959. Modern statistical methods were applied, such as: Gaussian binominal low-pass filter (30 yr), trend analysis (linear regression model) including the trend-to-noise-ratio as measure of significance and the non-parametric, non-linear trend test according to MANN (MANN's Q). According to the results of the analyses, climate change in Japan …
A New Approach of Investment for the Future Economic Policies
2013
The investment takes the form of sums of money spent for the acquisition of capital goods, changes in business inventories, and the purchases of new residential housing that are not currently consumed, but will be used in the future for the growth of the wealth. The work covered by this study aims to identify the model that presents, in the best possible way, the method of investment’s calculation and to determine the factors of influence. In the first part, the investment is analyzed as a linear function dependent on the interest rate; and the second part implies a new model for determining long-term investments.
Generation of Natural Runoff Monthly Series at Ungauged Sites Using a Regional Regressive Model
2016
Many hydrologic applications require reliable estimates of runoff in river basins to face the widespread lack of data, both in time and in space. A regional method for the reconstruction of monthly runoff series is here developed and applied to Sicily (Italy). A simple modeling structure is adopted, consisting of a regression-based rainfall–runoff model with four model parameters, calibrated through a two-step procedure. Monthly runoff estimates are based on precipitation, temperature, and exploiting the autocorrelation with runoff at the previous month. Model parameters are assessed by specific regional equations as a function of easily measurable physical and climate basin descriptors. Th…
Comparative Analysis of Spatial Interpolation Methods in the Mediterranean Area: Application to Temperature in Sicily
2015
An exhaustive comparison among different spatial interpolation algorithms was carried out in order to derive annual and monthly air temperature maps for Sicily (Italy). Deterministic, data-driven and geostatistics algorithms were used, in some cases adding the elevation information and other physiographic variables to improve the performance of interpolation techniques and the reconstruction of the air temperature field. The dataset is given by air temperature data coming from 84 stations spread around the island of Sicily. The interpolation algorithms were optimized by using a subset of the available dataset, while the remaining subset was used to validate the results in terms of the accur…
Crop Nitrogen Retrieval Methods for Simulated Sentinel-2 Data Using In-Field Spectrometer Data.
2021
Nitrogen (N) is one of the key nutrients supplied in agricultural production worldwide. Over-fertilization can have negative influences on the field and the regional level (e.g., agro-ecosystems). Remote sensing of the plant N of field crops presents a valuable tool for the monitoring of N flows in agro-ecosystems. Available data for validation of satellite-based remote sensing of N is scarce. Therefore, in this study, field spectrometer measurements were used to simulate data of the Sentinel-2 (S2) satellites developed for vegetation monitoring by the ESA. The prediction performance of normalized ratio indices (NRIs), random forest regression (RFR) and Gaussian processes regression (GPR) f…
An Exploratory Analysis of Factors Associated with Health-Related Physical Fitness in Adolescents. The ASSO Project
2018
Monitoring physical fitness (fitness) and identifying, since the beginning, possible determinants in youth could be useful to preserve health and avoid morbidities in adulthood. The main objective of this study is to provide details on the fitness levels of a sample of adolescents living in the Southern area of Italy and describe its associations with biological/genetic, socio-cultural/environmental, and lifestyle (physical activity/sedentariness, alcohol/smoking, meal patterns/habits) factors. The study was conducted within the Adolescence Surveillance System for Obesity Prevention (ASSO) project, funded by the Italian Ministry of Health and examining adolescents&rsquo
Financial inclusion and exclusion across Mexican municipalities
2021
Although in recent years there has been a growth in banking services in Mexico, there is still a significant delay in terms of financial inclusion, which is also very uneven across municipalities. In this context, this paper analyses some of the factors that determine the probability of a municipality being financially included. The results show that financially included municipalities have a large number of inhabitants and high levels of income and education. The analysis also distinguishes between municipalities according to the region in which they are located and to their type of population. In general, rural and in transition municipalities are the least financially included, together …