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SURVEY REVIEW

ISSN:

0039-6265

eISSN:

1752-2706

Dyscypliny:

  • inżynieria lądowa, geodezja i transport (Dziedzina nauk inżynieryjno-technicznych)
  • inżynieria środowiska, górnictwo i energetyka (Dziedzina nauk inżynieryjno-technicznych)
  • geografia społeczno-ekonomiczna i gospodarka przestrzenna (Dziedzina nauk społecznych)

Punkty Ministerialne: Pomoc

Punkty Ministerialne - aktualny rok
Rok Punkty Lista
Rok 2024 70 Ministerialna lista czasopism punktowanych 2024
Punkty Ministerialne - lata ubiegłe
Rok Punkty Lista
2024 70 Ministerialna lista czasopism punktowanych 2024
2023 70 Lista ministerialna czasopism punktowanych 2023
2022 70 Lista ministerialna czasopism punktowanych (2019-2022)
2021 70 Lista ministerialna czasopism punktowanych (2019-2022)
2020 70 Lista ministerialna czasopism punktowanych (2019-2022)
2019 70 Lista ministerialna czasopism punktowanych (2019-2022)
2018 15 A
2017 15 A
2016 15 A
2015 15 A
2014 15 A
2013 15 A
2012 15 A
2011 15 A
2010 20 A

Model czasopisma:

Hybrydowe

Punkty CiteScore:

Punkty CiteScore - aktualny rok
Rok Punkty
Rok 2023 3.5
Punkty CiteScore - lata ubiegłe
Rok Punkty
2023 3.5
2022 3.3
2021 3.3
2020 3.2
2019 2.8
2018 2.6
2017 2.2
2016 1.5
2015 1.2
2014 0.9
2013 0.8
2012 0.7
2011 0.7

Impact Factor:

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Sherpa Romeo:

https://v2.sherpa.ac.uk/id/publication/1128

Prace opublikowane w tym czasopiśmie

Filtry

wszystkich: 9

  • Kategoria
  • Rok

wyczyść Filtry wybranego katalogu niedostępne

Katalog Czasopism

Rok 2021
  • Estimators of covariance matrices in Msplit(q) estimation
    Publikacja

    - SURVEY REVIEW - Rok 2021

    This paper proposes methods for the determination of covariance matrices of Msplit(q) estimators. The solutions presented here allow Msplit(q) estimation to be supplemented by the operations from the domain of accuracy analysis (especially that concerning estimators of parameters). Theoretical forms of covariance matrices of Msplit(q) estimators were established using the empirical influence functions and the equivalent covariance...

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Rok 2020
Rok 2018
  • High performance filtering for big datasets from Airborne Laser Scanning with CUDA technology
    Publikacja

    - SURVEY REVIEW - Rok 2018

    There are many studies on the problems of processing big datasets provided by Airborne Laser Scanning (ALS). The processing of point clouds is often executed in stages or on the fragments of the measurement set. Therefore, solutions that enable the processing of the entire cloud at the same time in a simple, fast, efficient way are the subject of many researches. In this paper, authors propose to use General-Purpose computation...

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  • Reduction of measurement data before Digital Terrain Model generation vs. DTM generalisation
    Publikacja

    - SURVEY REVIEW - Rok 2018

    Modern data acquisition technologies provide large datasets that are not always necessary in its entirety to properly accomplish the goal of the study. In addition, such datasets are often cumbersome for rational processing, and their processing is time and labour consuming. Therefore, methods that enable to reduce the size of the measurement dataset, such as the generalization of the Digital Terrain Model (DTM) or the reduction...

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Rok 2017
  • The potential of Web-GIS and geovisual analytics in the context of marine cadastre
    Publikacja

    - SURVEY REVIEW - Rok 2017

    The importance of the marine environment to human existence makes it imperative that information models represent the multidimensional nature of reality as closely as possible in order to facilitate good governance. Information regarding jurisdiction, as well as the effects of formal law and community interests on the marine environment (e.g. nature and spatial extents as well as rights, responsibilities, restrictions etc.) would...

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Rok 2016
  • Investigation of long-range dependencies in the stochastic part of daily GPS solutions
    Publikacja

    - SURVEY REVIEW - Rok 2016

    The long-range dependence (LRD) of the stochastic part of GPS-derived topocentric coordinates change (North, East, Up) results with relatively high autocorrelation values with a focus on self-similarity. One of the reasons for such self-similarity in the GPS time series are noises that are commonly recognised to prevail in the form of the flicker noise model. To prove the self-similarity of the stochastic part of GPS time series...

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Rok 2015
Rok 2013
  • Local variance factors in deformation analysis of non-homogenous monitoring networks
    Publikacja

    - SURVEY REVIEW - Rok 2013

    This paper proposes a modification of the classical deformation analysis algorithm for non-homogeneous (e.g. linear-angular) monitoring networks. The basis for the proposed solution is the idea of local variance factors. The theoretical discussion was complemented with an example of its application on a simulated horizontal monitoring network. The obtained results confirm the usefulness of the proposed solution.

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