range aggregate processing in spatial da ases

Range Aggregate Processing in Spatial Databases

A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids). This paper studies spatial indexes that solve such queries efficiently and proposes the aggregate Point-tree (aP-tree),

(PDF) Range aggregate processing in spatial databases

A range aggregate query returns summarized information about the points falling in a hyper-rectangle (e.g., the total number of these points instead of their concrete ids).

Spatial Aggregation: Data Model and Implementation ...

SJA queries take more time and space cost than non-spatial join aggregation queries and requires expensive join and aggregate operations on massive spatial data [1].

Algorithms for Fundamental Spatial Aggregate Operations ...

Aggregate operations, spatial aggregates, vector algorithms. 1. INTRODUCTION A wide range of scienti c, business, and social applica-tions require the management and analysis of data entities that contain a spatial component that may vary over time. The recognized value and utility of spatial and spatiotempo-

Energy-efficient and privacy-preserving spatial range ...

Energy-efficient and privacy-preserving spatial range aggregation query processing in wireless sensor networks. ... the final query result is aggregate d at the. ... which decre ases the. energy ...

Spatial Online Sampling and Aggregation

be satisfied with just an accurate enough aggregate. However, past work on online aggregation has focused on rela-tional aggregates, group-by, and join queries [11,13,17,30], on relational data. In this paper, motivated by the needs for interactive spatial exploration and analytics, we study this problem over spatial and spatio-temporal data.

Aggregate—Help | ArcGIS for Desktop

Learn more about how Aggregate works. Illustration OutRas = Aggregate(InRas1, 3, Max, Expand, Data) Usage. If the values of the input raster are integer and any statistics type option other than Mean is used, the output raster will be integer.

Spatial analysis - Wikipedia

Spatial analysis or spatial statistics includes any of the formal techniques which studies entities using their topological, geometric, or geographic properties. Spatial analysis includes a variety of techniques, many still in their early development, using different analytic approaches and applied in fields as diverse as astronomy, with its studies of the placement of galaxies in the cosmos ...

Spatial and Temporal Features of the Growth of a Bacterial ...

The form of aggregate growth indicates intrinsically higher division rates for clustered bacteria, rather than surface-mediated agglomeration onto clusters. Thus, the spatial organization of gut bacteria both relative to the host and to each other impacts overall growth kinetics, suggesting that spatial characterizations will be an important ...

Spatial databases with application to GIS | Guide books

Particular attention is given to discussion of the efficient processing of spatial joins. Finally, chapter 8 provides an overview of current commercial solutions for handling of geographic information. The major contribution of this chapter is to relate the previously discussed theoretical study of spatial databases to existing commercial products.

Benchmarking Spatial Data Warehouses

In this paper, we propose a novel spatial data warehouse benchmark, called Spadawan, to address the query processing performance on spatial roll-up and drill-down operations using predefined spatial hierarchies over SDW. As spatial predicates, the Spadawan benchmark focuses on intersection, containment and enclosure range queries.

How Grouping Analysis works—Help | ArcGIS Desktop

In the report below, for example, you see that Group 1 (Blue) contains 52 percent of the range of values in the global AGE_UNDER5 variable; the global range of values is from 0 to 1,453 children under the age of 5, and the blue group contains tracts with from 488 to 1,246 children under the age of 5.

Spatial query processing in wireless sensor networks – A ...

Jan 01, 2014 · In order to better study spatial queries, we will analyze them in stages. The related works define different numbers of stages for spatial query processing in WSN , , , .However, these stages can be subdivided into simpler stages, as proposed in our previous work .We analyzed spatial queries in six stages: Pre-Processing, Forwarding, Dissemination, Aggregation, Sensing and Return.

Duty cycle aware spatial query processing in wireless ...

Jan 01, 2013 · Spatial query processing can be divided into six stages , as illustrated in Fig. 3.The Pre-Processing stage is performed in the user’s computer. It prepares queries to be processed by the WSN. The user, represented in Fig. 3 by the computer, defines the RoI. The first sensor node to receive the query in the network is named Originator.In the Forwarding stage, the query is forwarded from the ...

Distribution of algal aggregates under summer sea ice in ...

Dec 17, 2014 · The sea ice cover of the Arctic Ocean has changed dramatically in the last decades, and the resulting consequences for the sea-ice-associated ecosystem remain difficult to assess. Algal aggregates underneath sea ice are of great importance for the ice-associated ecosystem and the pelagic-benthic coupling. However, the frequency and distribution of their occurrence is not well quantified.

Interspecies metabolite transfer and aggregate formation ...

Microbial communities involving dehalogenating bacteria assist in bioremediation of areas contaminated with halocarbons. To understand molecular interactions between dehalogenatin

Cases in Alberta | Alberta.ca

Alberta is monitoring for variant strains of COVID-19 that have a higher infection rate. Case numbers will be updated weekly. As of January 25, Alberta has detected: 20 cases of the variant first identified in the United Kingdom (B.1.1.7) 5 cases of the variant first identified in South Africa (B.1 ...

Recent Progress on Spatial and Thematic Resolution in ...

Aug 12, 2016 · Dimensions of Scale and Definition of Spatial and Thematic Resolution. Spatial resolution, often referred to as the grain size, is a product of several factors associated with the acquisition and processing of spatial data from the field or remote sensing [20–22].In remote sensing, spatial resolution is primarily a product of the pixel size of the sensor or the object-scale for data produced ...

N94-18350

The outer plexiform layer handles spatial processing and dynamic range adjustments, while the inner plexiform layer is involved in ... Processing throughout the model is performed on analog da_a, ... to the _use _ t-llis Simple, aggregate err0r Signal: (More complex and computationally

Spatial distribution of interictal spikes fluctuates over ...

Dec 20, 2019 · The median number of sequential hours needed to capture 80% of the total variability in spike spatial distribution was 12 h (range 6–85 h across patients, interquartile range = 11.8 h), and the median percentage duration was 16.3% of the total recording duration (range 7.4–64.9%).

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