spatial or time-series
Spatial Prediction of Landslides using Time Series Analysis and Support Vector Machine
... their spatial extent and the socio-economic losses can thereby be ...region. Time Series Analysis is used to find the direction and periodic propagation of landslides and the total amount of their ...
6
Generation and validation of spatial distribution of hourly wind speed time-series using machine learning
... speed time-series at high resolution are helpful to estimate the temporal changes of the electricity generation and indispensable to design stand-alone systems, which are affected by the mismatch of supply ...
11
COPE: Interactive Exploration of Co-occurrence Patterns in Spatial Time Series.
... Abstract—Spatial time series is a common type of data dealt with in many domains, such as economic statistics and environmental ...in time series; the term ‘event’ refers to significant ...
15
SARS Time Series Modeling and Spatial Data Analysis
... In this paper, we first create and analyze SARS spatial data, and use ArcGIS ArcMap 9.3 for data acquisition and collection of data stored in ArcCatalog create space database. Buffer and were analyzed using the ...
7
Rice crop phenology mapping at high spatial and temporal resolution using downscaled MODIS time series
... coarse spatial resolution satellite systems such as the Moderate Resolution Imaging Spectroradiometer (MODIS) are inadequate for resolving crop growth variability at the field ...high spatial and temporal ...
23
Expectation-maximization analysis of spatial time series
... In recent years, numerical model output, satellite data, and oceanographic observing systems are providing increasing amounts and complexity of spatial time series. Historically, data analyses such ...
5
Model-Free Analysis of Single fMRI Time Series Based on Spatial Synchronization
... the spatial nature of the image data and does not take advantage of the spatially contiguous patterns of ...the time series of individual voxels frequently appear very noisy, making ithard to ...
6
Spatial Index for Uncertain Time Series
... The algorithm Adjust and other operations in the traditional index must be altered for un- certain time series. We just consider a vital operation called Insert for this step, including Split and Reinsert, ...
17
Spatial – Local Evaluation and Analysis of Crimes Using Time Series Model and ARCGIS Software
... using ARCGIS software and statistical analysis such as clustering which are used for identifying crime hot spots. ARCGIS statistical analysis and clustering analysis help collecting data to the groups according to ...
9
Three Essays in Applied Spatial and Time Series Econometrics.
... county–level spatial dataset which includes not only Judaism and Christianity but also other major ...apply spatial econometrics approaches suggested by the literature by Anselin (1988), Cressie (1993), and ...
315
Advanced radar-interpretation of InSAR time series for mapping and characterization of geological processes
... (iv) spatial characterization ...deformation time series performed through the analysis of SAR archived data”, and it translates in terms of operative effectiveness, the crucial concept of temporal ...
17
Online Full Text
... in time series data related to some ...autocorrelated time series ...the spatial and temporal variability of attributes related to the yield and quality of durum wheat production, using ...
6
Order Selection of Spatial and Temporal Autoregressive Models with Errors in Variables
... lection is carried out using several information criteria which have relative advantages depend- ing upon the situation in which they are used. There has been considerable development dur- ing the last decade on the ...
7
Detecting spatial patterns with the cumulant function – Part 2: An application to El Ni˜no
... In geosciences, many datasets consist of multivariate time se- ries (e.g. temperature, precipitation or pressure) measured at different locations. Observations at different places are not independent: they rather ...
9
A time series of infectious-like events in Australia between 2000 and 2013 leading to extended periods of increased deaths (all-cause mortality) with possible links to increased hospital medical admissions
... The effect of size (Figure 3), has also been documented in the UK and Europe for both deaths and medical admissions, and appears to arise from the slow spatial spread of the agent. 17,21,30 The resulting range in ...
15
Article Description
... that spatial information ...providing time-series information on urban landscape evaluation and this, in turn, provide interesting supports for decision-making for future planning and monitoring ...
6
A spatio-temporal feature extraction algorithm for crop mapping using satellite image time-series data
... the spatial patterns of ...the time-series data into several homogeneous ...is time-consuming and requires tuning several parameters (Jonsson & Eklundh, ...the time-series ...
10
Spatial and temporal analysis of tuberculosis in Zhejiang Province, China, 2009-2012
... the spatial patterns and space- time clusters at the county level in Zhejiang province using time series and advanced spatial data ...the time series study, seasonal ...
10
Mapping air temperature using time series analysis of LST: the SINTESI approach
... using time series analysis of satellite-derived land sur- face temperature (LST) ...LST spatial and temporal pat- tern within a grid cell has been modelled by the pixel-wise ratios r(x, y, t ) of the ...
15
The hidden burden of measles in Ethiopia: how distance to hospital shapes the disease mortality rate
... the time series of hospitalized measles ...a spatial analysis to quantify the hidden burden of disease and to identify spatial heterogeneities characterizing the effectiveness of the public ...
12