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[PDF] Top 20 Spatio-Temporal Biodiversity Data Model Using Object Relational Modeling Approach

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Spatio-Temporal Biodiversity Data Model Using Object Relational Modeling Approach

Spatio-Temporal Biodiversity Data Model Using Object Relational Modeling Approach

... maintain biodiversity data is a crucial requirement for biodiversity database management ...However, biodiversity data contains of spatial, temporal and attribute ...A ... See full document

10

Using non exceedance probabilities of policy relevant malaria prevalence thresholds to identify areas of low transmission in Somalia

Using non exceedance probabilities of policy relevant malaria prevalence thresholds to identify areas of low transmission in Somalia

... The spatio-temporal analysis of the data under- went several formative ...a spatio-temporal exploratory analysis was undertaken, using a non-spatial binomial mixed model, ... See full document

10

Carried object detection and tracking using geometric shape models and spatio-temporal consistency

Carried object detection and tracking using geometric shape models and spatio-temporal consistency

... novel approach for carried object detection and track- ing by characterising carried objects given that only the carry event occurs ...carried object detection and tracking task as finding the most ... See full document

11

A study of data components and knowledge components for plant biodiversity area by using spatio-temporal data model techniques

A study of data components and knowledge components for plant biodiversity area by using spatio-temporal data model techniques

... conceptual model that partially overcomes some problems of spatio-temporal data ...existing model shows that such a basis is weakly ...within data structures. Beside that ... See full document

87

Spatio-temporal approach to moving window block kriging of satellite data v1.0

Spatio-temporal approach to moving window block kriging of satellite data v1.0

... product–sum model, as it has been applied in the past, has one important area for ...separate modeling of the spatial and temporal covariance (variograms) and their later unification into a ... See full document

12

Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

Spatio-temporal modeling of particulate air pollution in the conterminous United States using geographic and meteorological predictors

... density using data from the ...[32] using a ker- nel density function (ESRI Spatial Analyst) evaluated on a 30 m cell size ...density approach involves deriving locally varying values by ... See full document

15

Conceptual Spatio-Temporal Data Model Design For Plant Biodiversity

Conceptual Spatio-Temporal Data Model Design For Plant Biodiversity

... maintain biodiversity data is a crucial requirement for biodiversity database management ...However, biodiversity data contains of spatial, temporal and attribute ...A ... See full document

8

Investigating Spatio Temporal Pattern of Relative Risk of Tuberculosis in Kenya Using Bayesian Hierarchical Approaches

Investigating Spatio Temporal Pattern of Relative Risk of Tuberculosis in Kenya Using Bayesian Hierarchical Approaches

... colleagues model [8] with interaction type IV structure for modeling and mapping Kenya TB relative ...between temporal trends of interaction parameters and urbanization in Kenya, which might set a ... See full document

23

Joint outcome modeling using shared frailties  with application to temporal streamflow data

Joint outcome modeling using shared frailties with application to temporal streamflow data

... Joint modeling is a term used to reflect a modeling approach whereby two response pro- cesses are linked via a common set of latent ...to model two related outcomes such as a count and a ... See full document

70

Survey on Spatio-Temporal Database and Data Models with relevant Features

Survey on Spatio-Temporal Database and Data Models with relevant Features

... Spatio-temporal database modeling on earlier stages attempted to capture the state of real world objects or the physical events upon them ,on the time ....The spatio temporal models ... See full document

5

Surveillance of dengue vectors using spatio-temporal Bayesian modeling

Surveillance of dengue vectors using spatio-temporal Bayesian modeling

... this approach is still scarcely applied to ...study, data from a long-term surveillance program carried out under very controlled conditions in eight sentinel areas, provide an opportunity to develop and ... See full document

12

Conceptual Design Of Biodiversity Data Model (BiDaM) Using
Object Relational And Event Based Approach

Conceptual Design Of Biodiversity Data Model (BiDaM) Using Object Relational And Event Based Approach

... conceptual model that partially overcomes some problems of spatio- temporal data ...existing model shows that such a basis is weakly ...within data structures. Beside that ... See full document

5

Object-relational Features for Modeling and Analysis of Spatio-temporal Data

Object-relational Features for Modeling and Analysis of Spatio-temporal Data

... observation data. In an object-relational data model consists of a set of object classes (of different types or ...Each object class has an associated set of objects; each ... See full document

7

Biodiversity Data Model (BiDaM) Using Object Relational Approach: Conceptual Framework

Biodiversity Data Model (BiDaM) Using Object Relational Approach: Conceptual Framework

... plant biodiversity and even on mangrove area recent years; managing plant biodiversity data with database system still poses many ...Plant biodiversity is the variety of different types of ... See full document

9

Enhancement in a Formal V&V Approach for Real Time Databases

Enhancement in a Formal V&V Approach for Real Time Databases

... regarding temporal object oriented data models, temporal query languages and temporal access ...available temporal object oriented data models should be analyzed ... See full document

8

A spatio-temporal feature extraction algorithm for crop mapping using satellite image time-series data

A spatio-temporal feature extraction algorithm for crop mapping using satellite image time-series data

... VI-SITS data analyses are very well-studied in RS literature. Vegetation indices obtained from sensors with coarse spatial resolution, such as moderate resolution imaging spectroradiometer (MODIS), advanced ... See full document

10

Statistical t+2D subband modelling for crowd counting

Statistical t+2D subband modelling for crowd counting

... Frame by frame results are shown in Fig. 2. We also compare the performance for Mall dataset. The results are reported in Table 1. The results show either better or com- parable performances over the existing methods. ... See full document

6

Predictable model using Spatio Temporal Suppression in LAN

Predictable model using Spatio Temporal Suppression in LAN

... the data which is failed and ...the data that which is lost are ...both spatio and temporal technique to reduce the ...missing data previously it uses retransmission and time stamp ... See full document

5

Hierarchical Gradient Similarity Based Video Quality Assessment Metric

Hierarchical Gradient Similarity Based Video Quality Assessment Metric

... Both of the ventral and dorsal pathways contain the areas V1 and V2. Therefore, in order to reduce the repetitive computation, only the area V4 should be modeling in the ventral pathway. The area V4 is important ... See full document

7

Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012–2018

Regional and local temporal trends in the prevalence of canine heartworm infection in the contiguous United States: 2012–2018

... were subsequently analyzed and a prevalence of 1.3% was noted for 2010 through 2012 [4]. The importance of surveillance at regional, state, or even county levels is apparent when comparing national prevalence to state ... See full document

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