Geospatial Data Analysis: A Review of Theory and Methods

2017 ◽  
Author(s):  
Prof. Rajagopalan S ◽  
Yogalakshmi Jayabal
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Collection ◽  
Geospatial Data ◽  
Data Generation ◽  
Vast Amount ◽  
Temporal Aspect ◽  
Geospatial Data Collection

A vast amount of data is generated and collected every moment and often, data has a spatial and/or temporal aspect. This increasing data generation and collection is resulting in increasing volume and varying formats of data being collected and the geospatial data collection is no exception. This posses challenges in storing, processing, analyzing and visualizing the geospatial data. This paper discusses the big data paradigm of the geospatial data and presents a taxonomy for analysis of the geospatial data. The existing literature is studied and discussed based on the proposed taxonomy for analysis of geospatial data.

scholarly journals Evaluating army geospatial data collection tools

2014 ◽  
Author(s):  
Breawna Davis ◽  
Alexandria Sutherland ◽  
Megan Wilton ◽  
Michael J. Kwinn
Keyword(s):  
Data Collection ◽  
Geospatial Data ◽  
Geospatial Data Collection

Geomarketing Big Data Analysis

2021 ◽  
Vol 27 (4) ◽  
pp. 180-187
Author(s):  
S. V. Shaytura ◽  
◽  
D. A. Galkin ◽  
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Clustering ◽  
Big Data Analysis ◽  
Geospatial Data ◽  
Shopping Center ◽  
Housing Cost ◽  
Cost Assessment ◽  
Bank Branch ◽  
New Approaches

The accumulation of a large amount of geospatial data requires new approaches to their processing and visualization. One of these approaches is the creation of a geomarketing system with a fundamentally new toolkit based on data clustering. The capabilities of such a system are shown using examples of housing cost assessment, determining the location of a new shopping center, a bank branch and a clinic.

Philosophising Data

Big Data ◽  
2016 ◽  
pp. 302-313
Author(s):  
Jackie Campbell ◽  
Victor Chang ◽  
Amin Hosseinian-Far
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Data Collection ◽  
Data Visualisation ◽  
Business Decisions ◽  
Human Skill ◽  
Use Of Data ◽  
Market Trends ◽  
Scale Data ◽  
Current Practices

This chapter aims to critically reflect on the processes, agendas and use of Big Data by presenting existing issues and problems in place and consolidating our points of views presented from different angles. This chapter also describes current practices of handling Big Data, including considerations of smaller scale data analysis and the use of data visualisation to improve business decisions and prediction of market trends. The chapter concludes that alongside any data collection, analysis and visualisation, the ‘researcher' should be fully aware of the limitations of the data, by considering the data from different perspectives, angles and lenses. Not only will this add the validation and validity of the data, but it will also provide a ‘thinking tool' by which to explore the data. Arguably providing the ‘human skill' required in a process apparently destined to be automated by machines and algorithms.

scholarly journals Technology and Big Data Are Changing Economics: Mining Text to Track Methods

2020 ◽  
Vol 110 ◽  
pp. 42-48
Author(s):  
Janet Currie ◽  
Henrik Kleven ◽  
Esmée Zwiers
Keyword(s):  
Big Data ◽  
Text Mining ◽  
Data Collection ◽  
Applied Economics ◽  
Data Generation ◽  
Administrative Records ◽  
New Methods

The last 40 years have seen huge innovations in computing and in the availability of data. Data derived from millions of administrative records or by using (as we do) new methods of data generation such as text mining are now common. New data often requires new methods, which in turn can inspire new data collection. If history is any guide, some methods will stick and others will prove to be a flash in the pan. However, the larger trends toward demanding greater credibility and transparency from researchers in applied economics and a 'collage' approach to assembling evidence will likely continue.

scholarly journals Improving Post-Earthquake Insurance Claim Management: A Novel Approach to Prioritize Geospatial Data Collection

2015 ◽  
Vol 4 (4) ◽  
pp. 2401-2427 ◽  
Author(s):  
Massimiliano Pittore ◽  
Marc Wieland ◽  
Mustafa Errize ◽  
Cagatay Kariptas ◽  
Ismet Güngör
Keyword(s):  
Data Collection ◽  
Geospatial Data ◽  
Insurance Claim ◽  
Earthquake Insurance ◽  
Novel Approach ◽  
Geospatial Data Collection

scholarly journals Breaking Out of Surveillance Silos: Integrative Geospatial Data Collection for Child Injury Risk and Active School Transport

2015 ◽  
Vol 93 (1) ◽  
pp. 36-52 ◽  
Author(s):  
Laura Schuch ◽  
Jacqueline W. Curtis ◽  
Andrew Curtis ◽  
Courtney Hudson ◽  
Heather Wuensch ◽  
...  
Keyword(s):  
Data Collection ◽  
Injury Risk ◽  
Geospatial Data ◽  
Child Injury ◽  
Geospatial Data Collection
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