GIS Ostrava 2017 - Dynamics in GIscience

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27350%2F17%3A10236857" target="_blank" >RIV/61989100:27350/17:10236857 - isvavai.cz</a>

Výsledek na webu

<a href="http://gisak.vsb.cz/gis2017/" target="_blank" >http://gisak.vsb.cz/gis2017/</a>

DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

GIS Ostrava 2017 - Dynamics in GIscience

Popis výsledku v původním jazyce

Still, a majority of GI systems persist to be static. We are focused on a precise and accurate description of 2D or 3D reality, but many applications disregard temporal development and continuous changes in system, data, models, and relationships. Even for capturing reality in time series, inefficient forms of storage, retrieval, processing, analysing, modelling and visualisation are still frequently applied. Time is the key element of contemporary GIS. Mobile and wearable electronics, sensor networks, UAVs and other mobile snoopers, IoT and many other resources produce a massive amount of data every minute, which is naturally located in space as well as in time. While we are observers of usually mild improvement of spatial resolution of our data, we face substantial improvement of its temporal resolution. More frequent remotely sensed imagery, statistical data, or environmental measurements change our view of the world. Data time series are transformed into almost (from the human perspective) continuous data streams, which require changing of the concept of spatial data recording, storage, and manipulation. However, dynamics is not bound only by sometimes elusive human mobility data. The long tradition of environmental monitoring, statistical surveys, or i.e. business records have produced series of scenes, each valid only for some shorter or longer time interval. The analysis and modelling of the dynamics have to overcome a stepwise approach. The temporal dimension is required to become an integral part of the system; otherwise it is unable to fully understand the dynamics of human–environment interactions, to generate sophisticated predictions and to take appropriate measures.

Název v anglickém jazyce

GIS Ostrava 2017 - Dynamics in GIscience

Popis výsledku anglicky

Still, a majority of GI systems persist to be static. We are focused on a precise and accurate description of 2D or 3D reality, but many applications disregard temporal development and continuous changes in system, data, models, and relationships. Even for capturing reality in time series, inefficient forms of storage, retrieval, processing, analysing, modelling and visualisation are still frequently applied. Time is the key element of contemporary GIS. Mobile and wearable electronics, sensor networks, UAVs and other mobile snoopers, IoT and many other resources produce a massive amount of data every minute, which is naturally located in space as well as in time. While we are observers of usually mild improvement of spatial resolution of our data, we face substantial improvement of its temporal resolution. More frequent remotely sensed imagery, statistical data, or environmental measurements change our view of the world. Data time series are transformed into almost (from the human perspective) continuous data streams, which require changing of the concept of spatial data recording, storage, and manipulation. However, dynamics is not bound only by sometimes elusive human mobility data. The long tradition of environmental monitoring, statistical surveys, or i.e. business records have produced series of scenes, each valid only for some shorter or longer time interval. The analysis and modelling of the dynamics have to overcome a stepwise approach. The temporal dimension is required to become an integral part of the system; otherwise it is unable to fully understand the dynamics of human–environment interactions, to generate sophisticated predictions and to take appropriate measures.

Druh

M - Uspořádání konference

CEP obor

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OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Místo konání akce

Ostrava

Stát konání akce

CZ - Česká republika

Datum zahájení akce

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Datum ukončení akce

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Celkový počet účastníků

103

Počet zahraničních účastníků

75

Typ akce podle státní přísl. účastníků

WRD - Celosvětová akce