Analysis of Classical and "Unconventional" Data Using
for Quality Improvement of Handling Extraordinary Events
in Czech Republic and/or Abroad
Pavel Špulák
April 22, 2019
1 Introduction
Emergencies, which influences humankind, take place on the earth surface. They are influenced by it and
also influence it. Owing to this fact, earth sciences can provide valuable information for the management
of emergencies, during all its phases (preparation, response, recovery, and mitigation). This also implies,
that almost every data used for its management can be equipped with meaningful spatial reference.
The geographical information systems usually serve as a means for transfer of the earth sciences
findings to the daily praxis of emergency management. They provide us the means and tools for storing
and processing the spatial data, in order to provide qualified informational support to all peoples involved
in the management of emergencies.
2 Classical and "Unconventional" Data
The data used in the management of emergencies can be split into two basic categories. The classical
data, which occurs routinely in the emergency management process, and the other "unconventional" data,
which must be collected and processed according to the new (suddenly) occurring needs.
I the category of classical data falls the reference data stored in the data warehouses. They are
regularly updated and serves as a base for map projects used on operational centers of Integrated Rescue
Systems basic parts. They can also be used for support of the collection and processing of the other data.
In this category can be also included a data describing the emergency, such as the data concerning to the
112 calls and response to the emergency.
On the other hand, the need for collection and processing of the other data is caused by the newly
occurring reality. It can be a new kind of emergency, like rapid outbreak of zoonosis African swine fever
virus or foot and mouth disease or a sudden explosion of the ammunition storehouse. Or it can be
a substantial increase in the processed data volume, the occurrence of the Big Data, which demands new
approaches for its storage, handling, and processing.
3 The usage of the data
The geographical information systems are information systems, so the usual rules for its development
must be followed. The various particularities, caused by the spatial nature of the data, must be also
respected during such process.
Geographical information systems, in praxis, usually implies storage of the large and voluminous
data in various (relational) database management systems, wherein its tables stores both spatial and
non-spatial attributes. If we follow the modern three-tier architecture, the data are accessed through
the application servers by the various heavy or lightweight clients.
We can have large important data stored in databases, but without the data accessible at the right
moment at the right places to the right people, such data are completely useless. We can also pay
attention to the high-speed search mechanisms in order to make selected data available during a short
period of time to the users.
The REST architecture, using HTTP(S) protocol, provide us the very interesting possibility, to access,
through the same mechanisms, both the data and procedures for its processing. This leads to the creation
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of easily manageable, and testable information system which can substantially improve the cost-benefit
ratio of such systems.
4 The main aim of the work
The main aim of this work is to improve quality of the public service, protection of the lives and
health of inhabitants, environment, and property against fires and other emergencies and crisis situations,
by a means of the spatial data usage improvement.
The work will try to establish new methodologies and guidelines for usage of the spatial data for
emergency management. It will also test the suitability of the existing approaches and its combinations
for such purposes. The new ways for the usage of existing data will be also considered.
The focus will be given on the usage of the data, describing the emergencies, for support of the strategical
decision of the Fire and Rescue Service of the Czech Republic. This can encompass the evaluation
of forest fires data for planning of aerial extinguishing of the larges forest and field fires. Work will deal
also with an improvement of the generation various statistical outputs for highest levels of commands
and also for the common public like Statistical yearbook.
The improvement of data accessibility to the users, for example, publication of the data both professional
and voluntary fire station through web services will be also discussed. The creation of the program
for complex preparation of the spatial data for full-text search will be considered.
The other data will be included in this work according to the daily praxis needs.
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