Visualization techniques in metadata information systems for geospatial data

As Web service technologies mature in recent years, a growing number of geospatial Web services designed to interoperate spatial information over the network have emerged. Geospatial Web services are changing the way in which spatial information systems and applications are designed, developed and deployed. This chapter introduces all aspects of geospatial Web services from service-oriented architecture to service implementation. It covers the life cycle of geospatial Web services in terms of geospatial interoperable standards, including publish, discovery, invocation and orchestration. To make geospatial Web services more intelligent, semantic issues about geospatial data and services are discussed here. Furthermore, the applications of standard-compliant geospatial Web service are also reviewed.

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- Visualization Techniques for Geospatial Data

Interactive Data Visualization ◽

10.1201/b18379-10 ◽

2015 ◽

pp. 242-273

Keyword(s):

Geospatial Data ◽

Visualization Techniques

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Real-time Dynamic Visualization Techniques for Massive Geospatial Data

2014 IEEE International Conference on Data Mining Workshop ◽

10.1109/icdmw.2014.174 ◽

2014 ◽

Author(s):

Zhou Yanan ◽

Hu Xiaodong ◽

Li Jun

Keyword(s):

Real Time ◽

Geospatial Data ◽

Dynamic Visualization ◽

Time Dynamic ◽

Visualization Techniques

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Informatics driven quality improvement in the modern histology lab

JAMIA Open ◽

10.1093/jamiaopen/ooaa066 ◽

2020 ◽

Author(s):

Robert P Seifert ◽

Vektra Casler ◽

Nada Al Qaysi ◽

Shaileshbhai Revabhai Gothi ◽

Leah Williams ◽

...

Keyword(s):

Quality Improvement ◽

Information Systems ◽

Data Visualization ◽

Data Analytics ◽

Use Cases ◽

Anatomic Pathology ◽

Data Tracking ◽

Visualization Techniques ◽

Laboratory Information Systems ◽

And Task

Abstract Laboratory Information Systems (LIS) and data visualization techniques have untapped potential in anatomic pathology laboratories. Pre-built functionalities of LIS do not address all the needs of a modern histology laboratory. For instance, “Go live” is not the end of LIS customization, but just the beginning. After closely evaluating various histology lab workflows, we implemented several custom data analytics dashboards and additional LIS functionalities to monitor and address weaknesses. Herein, we present our experience in LIS and data-tracking solutions that improved trainee education, slide logistics, staffing/instrumentation lobbying, and task tracking. The latter was addressed through the creation of a novel “status board” akin to those seen in inpatient wards. These use-cases can benefit other histology laboratories.

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A Multi-Feature Based Automatic Approach to Geospatial Record Linking

Geospatial Intelligence ◽

10.4018/978-1-5225-8054-6.ch002 ◽

2019 ◽

pp. 10-30

Author(s):

Ying Zhang ◽

Puhai Yang ◽

Chaopeng Li ◽

Gengrui Zhang ◽

Cheng Wang ◽

...

Keyword(s):

Machine Learning ◽

Information Systems ◽

Geographic Information Systems ◽

Geographic Information ◽

Geospatial Data ◽

Data Sources ◽

Supervised Machine Learning ◽

Multiple Features ◽

Feature Based ◽

Record Similarity

This article describes how geographic information systems (GISs) can enable, enrich and enhance geospatial applications and services. Accurate calculation of the similarity among geospatial entities that belong to different data sources is of great importance for geospatial data linking. At present, most research works use the name or category of the entity to measure the similarity of geographic information. Although the geospatial relationship is significant for geographic similarity measure, it has been ignored by most of the previous works. This article introduces the geospatial relationship and topology, and proposes an approach to compute the geospatial record similarity based on multiple features including the geospatial relationships, category and name tags. In order to improve the flexibility and operability, supervised machine learning such as SVM is used for the task of classifying pairs of mapping records. The authors test their approach using three sources, namely, OpenStreetMap, Google and Wikimapia. The results showed that the proposed approach obtained high correlation with the human judgements.

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Shared Data Sources in the Geographical Domain—A Classification Schema and Corresponding Visualization Techniques

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi8050242 ◽

2019 ◽

Vol 8 (5) ◽

pp. 242 ◽

Cited By ~ 3

Author(s):

Franz-Benjamin Mocnik ◽

Christina Ludwig ◽

A. Grinberger ◽

Clemens Jacobs ◽

Carolin Klonner ◽

...

Keyword(s):

Information Systems ◽

Geographic Information Systems ◽

Public Participation ◽

Geographic Information ◽

Data Sources ◽

Individual Data ◽

Shared Data ◽

Share Data ◽

Visualization Techniques ◽

Voluntary Basis

People share data in different ways. Many of them contribute on a voluntary basis, while others are unaware of their contribution. They have differing intentions, collaborate in different ways, and they contribute data about differing aspects. Shared Data Sources have been explored individually in the literature, in particular OpenStreetMap and Twitter, and some types of Shared Data Sources have widely been studied, such as Volunteered Geographic Information (VGI), Ambient Geographic Information (AGI), and Public Participation Geographic Information Systems (PPGIS). A thorough and systematic discussion of Shared Data Sources in their entirety is, however, still missing. For the purpose of establishing such a discussion, we introduce in this article a schema consisting of a number of dimensions for characterizing socially produced, maintained, and used ‘Shared Data Sources,’ as well as corresponding visualization techniques. Both the schema and the visualization techniques allow for a common characterization in order to set individual data sources into context and to identify clusters of Shared Data Sources with common characteristics. Among others, this makes possible choosing suitable Shared Data Sources for a given task and gaining an understanding of how to interpret them by drawing parallels between several Shared Data Sources.

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Paper on the conceptual definition of the geo-topographic support

Vojno delo ◽

10.5937/vojdelo2101044d ◽

2021 ◽

Vol 73 (1) ◽

pp. 44-57

Author(s):

Dejan Đorđević ◽

Dragoljub Sekulović

Keyword(s):

Information Systems ◽

Geographic Information Systems ◽

Armed Forces ◽

Geographic Information ◽

Information And Communications Technology ◽

Geospatial Data ◽

Conceptual Definition ◽

The Republic ◽

Support Principle ◽

Definition Of

The Serbian Armed Forces support represents a part of the military activity aimed at creating conditions for the execution of missions and tasks. For successful support, it is necessary to establish the cooperation with relevant institutions of the Republic of Serbia. The conceptual definition of the geo-topographic support has been researched in the context of previous and current regulations, which have shown that the achievements of information and communications technology have influenced not only the development of the geographic information systems, but also directly the definition of this concept. The importance of the geographic information systems in the collection, processing, analysis and use of geospatial data has also determined the contents of the geo-topographic support. The continuous development of the geographic information systems in the direction of establishing a service-oriented approach to the distribution and use of geospatial data, will directly affect the future improvement of the content of the geo-topographic support. Such a process is accompanied by the establishment of the geo-topographic support principle, which should enable the construction and maintenance of a stable structure, in order to successfully carry out the assigned missions and tasks of the Serbian Armed Forces.

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