Spatial Analysis and modeling
CyberGIS Toolkit: A Software Toolbox Built for. Scalable cybergis Spatial Analysis and Modeling
... • Establish and sustain the CyberGIS Toolkit as a reliable software toolbox through an open and rigorous software building, testing, packaging, and deployment framework.. • Capture com[r] ...
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Spatial analysis of gravity anomalies in the Congolese sedimentary central basin and contribution to the modeling of his petroleum system
... A BSTRACT : The exploration of the Central sedimentary basin in Democratic Republic of Congo, focused on geological, geochemical and geophysical studies, as well as well drilling, started early in nineteen fifty with ...
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Spatial analysis of plague in California: niche modeling predictions of the current distribution and potential response to climate change
... Current model results matched areas with historical and recent plague activity, including the San Francisco penin- sula and San Bruno Mountain, the San Jacinto mountains, and the Los Padres National Forest area [32]. ...
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Spatial Analysis for Flood Control by Using Environmental Modeling
... final spatial information and analysis, flood hazard maps and land development priority maps and information, data for the flood events to 2009 in north of Iran were incorporated with using ...
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Modeling spatial accessibility to parks: a national study
... known spatial analysis problem: the Modifiable Areal Unit Pro- blem ...of spatial scales of the geographic unit of analysis. The spatial accessibility of parks may change depending on ...
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Geostatistical modeling and spatial distribution analysis of porosity and permeability in the Shurijeh-B reservoir of Khangiran gas field in Iran
... are analysis of spatial behavior of the porosity and permeability, presenting direction of anisotropy for each variable and describing variation of these parameters in Shurijeh B gas reservoir in Khangiran ...
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Threshold modeling of extreme spatial rainfall
... rainfall analysis, based on Bayesian hierarchical models using a copula approach [Sang and Gelfand, 2010], but mentions that use of max-stable modeling of spatial dependence might constitute an im- ...
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SARS Time Series Modeling and Spatial Data Analysis
... the spatial database containing information on SARS epidemic factors; the activities of SARS cases range control was simulated, and the best path for treatment of SARS cases was got by spatial ...
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Residual spatial autocorrelation in macroecological and biogeographical modeling: a review
... to spatial models which explicitly account for the presence of ...and spatial approaches in selecting variables is that non-spatial models tend to recover the missing spatial information by ...
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Paddy Availability Modeling in Indonesia Using Spatial Regression
... as spatial lag dependent variable of coefficient parameter, λ as spatial lag error of coefficient parameter, u , ε as error vector of n × 1, W as weighting matrix of n × n, n as the num- bers of location, k as ...
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Modeling movement probabilities within heterogeneous spatial fields
... a spatial representation of limits of movement at a particular ...the spatial plane allows one to map the potential path area; which for classic space-time prisms is by definition in the shape of an ...
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A Software System for Spatial Data Analysis and Modeling *
... and spatial relationships not explicitly stored in spatial databases is called spatial data ...significant spatial data mining functionality is currently ...some spatial data mining ...
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Modeling spatial processes with unknown extremal dependence class
... assess the evidence for asymptotic dependence over asymptotic independence, if so desired. In encompassing both extremal dependence classes, our approach has similarities with the bivariate model of Wadsworth et al. ...
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Apartment Rent Prediction Using Spatial Modeling
... While proximity variables have traditionally garnered significant interest from researchers, their inconsistency across markets makes them less desirable when modeling global variation than indicator variables for ...
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Statistical Analysis of Spatial Dynamic Pattern in Spatial Data Analysis
... In statistics, regression analysis is one of the most useful and com- monly used tools. In this chapter, we review the techniques applied in nonlinear regression, especially the local polynomial modelling, which ...
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Modeling the spatial dependence of floods using the Fisher copula
... The spatial dependence of flood events at several loca- tions has been assessed using different types of approaches comprising conditional exceedance models (Keef et ...value modeling and have been used in ...
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Rainfall disaggregation for hydrological modeling: is there a need for spatial consistence?
... Since WaSiM is more complex than HBV with respect to computational needs, a different strategy for model calibra- tion was chosen. As the number of both adjustable param- eters and iterations is limited due to limited ...
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Assessment and Modeling of Geo Spatial Technology and Geo Spatial Intelligence Support for Joint Military Operations
... Numerous digital multispectral, hyper spectral and radar sensor platforms are used on-board both tactical and endurance UAVs for military applications in littoral regions. As the ability to move data quicker and in ...
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StNet: Local and Global Spatial-Temporal Modeling for Action Recognition
... novel spatial-temporal network (StNet) to tackle the large scale ac- tion recognition ...local spatial- temporal relationship by applying 2D convolution on 3N- channel super-image, which is composed of N ...
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Spatial-explicit modeling of social vulnerability to malaria in East Africa
... factors. Bates et al. [17,18] highlight that there is a strong link between wealth and treatment-seeking behavior and access to malaria prevention services, such as ownership of nets, etc. We therefore used a dataset ...
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