DAP - Large Volume Spatial Data Discovery and Distribution Over Networks

2003 ◽  
Vol 2003 (2) ◽  
pp. 1-4
Author(s):  
Ian MacLeod ◽  
Roger Amorim ◽  
Nick Valleau
Keyword(s):  
Large Volume ◽  
Spatial Data ◽  
Data Discovery

DAP — Large volume spatial data discovery and distribution over networks

2003 ◽  
Vol 34 (1-2) ◽  
pp. 143-146
Author(s):  
Ian MacLeod ◽  
Roger Amorim ◽  
Nick Valleau
Keyword(s):  
Large Volume ◽  
Spatial Data ◽  
Data Discovery

Data Discovery Approaches for Vague Spatial Data

Data Mining ◽  
2013 ◽  
pp. 50-65
Author(s):  
Frederick E. Petry
Keyword(s):  
Data Mining ◽  
Fuzzy Sets ◽  
Association Rules ◽  
Rough Set ◽  
Fuzzy Set ◽  
Spatial Data ◽  
Spatial Databases ◽  
Uncertain Data ◽  
Rule Extraction ◽  
Data Discovery

This chapter focuses on the application of the discovery of association rules in approaches vague spatial databases. The background of data mining and uncertainty representations using rough set and fuzzy set techniques is provided. The extensions of association rule extraction for uncertain data as represented by rough and fuzzy sets is described. Finally, an example of rule extraction for both types of uncertainty representations is given.

scholarly journals Spatial Metadata Usability Evaluation

2020 ◽  
Vol 9 (7) ◽  
pp. 463 ◽  
Author(s):  
Mohsen Kalantari ◽  
Syahrudin Syahrudin ◽  
Abbas Rajabifard ◽  
Hardi Subagyo ◽  
Hannah Hubbard
Keyword(s):  
Data Quality ◽  
User Interfaces ◽  
Spatial Data ◽  
Irrelevant Information ◽  
End Users ◽  
Data Discovery ◽  
Data Infrastructure ◽  
Critical Part ◽  
Efficiency And Effectiveness ◽  
Effectiveness And Efficiency

Spatial metadata is a critical part of any spatial data infrastructure, which enables the organising, sharing, discovery and use of spatial data. This paper highlights a knowledge gap in the usability of the metadata systems for the end–users. It then addresses the gap by applying the User Centred Design approach to investigate the usability of metadata records. The research engages with end–users concerning efficiency and effectiveness of metadata systems, and end–users’ satisfaction and expectations. The results indicate significant gaps with the effectiveness and efficiency of metadata systems for spatial data discovery and selection. Inconsistency and irrelevant information in the metadata records were found in the title, keywords, abstracts, data quality and other elements of the metadata. Additionally, essential improvements were identified for user interfaces. Discouraging presentation of the metadata is a prominent problem found in the interface of the metadata systems.

scholarly journals Development of software for analysis of indicators of spatial development of a complicated subject territory

2021 ◽  
Vol 244 ◽  
pp. 03002
Author(s):  
Alexander Sizov ◽  
Elena Chernykh
Keyword(s):  
Large Volume ◽  
Spatial Data ◽  
Software Package ◽  
Spatial Development ◽  
Primary Processing ◽  
Monitoring Period

The article is devoted to the description of the created software package that allows the user to solve a number of problems of systematization and primary processing of a large volume of spatial data on three subjects of the Tyumen region included in the statistical register of Rosstat for a given monitoring period in order to calculate and analyze indicators of the spatial development of the territory of the “Greater Tyumen region”

scholarly journals ROLE OF REMOTE SENSING AND GIS IN FORESTRY

2014 ◽  
pp. 231-235
Author(s):  
MEGHA GUPTA ◽  
ANKITA KHARE ◽  
SRASHTI PATHAK
Keyword(s):  
Remote Sensing ◽  
Large Volume ◽  
Spatial Data ◽  
Direct Contact ◽  
Remote Sensing And Gis ◽  
Computer Hardware ◽  
Space Technology ◽  
Common People ◽  
The Earth

The Earth is constantly under observation from dozens of satellites orbiting the planet and collecting data. They are engaged in something called "remote sensing”: the act of obtaining information about something without being in direct contact with it. Now-a-days the field of Remote Sensing and GIS has become exciting and glamorous with rapidly expanding opportunities. Many organizations spend large amounts of money on these fields. Here the question arises why these fields are so important in recent years. Two main reasons are there behind this. Now-a-days scientists, researchers, students, and even common people are showing great interest for better understanding of our environment. Development in complicated space technology which can provide large volume of spatial data, along with declining costs of computer hardware and software has made Remote Sensing and G.I.S. affordable to not only complex environmental/spatial situation but also affordable to an increasingly wider audience.

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