Spatial Data Transformation: Feature Attribute Conversion Issues and Practical Experience

1991 ◽  
Author(s):  
Mark A. Sither
Keyword(s):  
Spatial Data ◽  
Data Transformation ◽  
Practical Experience ◽  
Feature Attribute

scholarly journals Properties of cartographic modelling under contemporary definitions of a map

2016 ◽  
Vol 48 (3) ◽  
pp. 91-100 ◽  
Author(s):  
Marek Baranowski ◽  
Dariusz Gotlib ◽  
Robert Olszewski
Keyword(s):  
Spatial Data ◽  
Spatial Information ◽  
Practical Experience ◽  
Spatial Modelling ◽  
Specific Model ◽  
Thought Processes ◽  
Specific Level ◽  
The 1960S ◽  
Geographical Space

Abstract The identity of cartography is determined by the manner of defining and interpreting the concept of “map”. However, the term has not been unequivocally articulated as yet. There are many different definitions of maps available in literature – from those viewing map as a scaled-down, planar, graphic representation of geographical space, to those that equate a map to a specific model that is independent of the form of its presentation. Interestingly enough, the basis of such universal treatment of the map concept can be found already in the scientific works from the 1960s. Although contemporary definitions do not limit a map to a single form of presentation, such over-simplification still persists. The issue has become very relevant given the rapidly increasing number of diverse geospatial applications designed to access spatial data and present it in diverse forms. So far, however, there are no clear rules for categorizing a given representation as cartographic or non-cartographic. And this often gives rise to various misconceptions, e.g. regarding the role and responsibilities of cartography as science and practical activity. According to the authors of the article, a map is an ordered informational structure shaped by the years of practical experience and research in the field of cartography. Map arising in the process of cartographic modelling is understood as one of many possible models of the portrayed space. The model is formed in the course of thought processes, including abstraction and generalization in particular. Creation of the model involves the use of symbolism that can be decoded by the recipient. This does not mean, however, that the process of symbolization is limited exclusively to graphical representations. Map is also a tool for presenting spatial information in a visual, digital or tactile way. Therefore, the essence of map is determined by its “model” nature rather than the format of the cartographic message. The authors have assumed that map is formed in the process of cartographic modelling and certain properties of the process can be defined, that distinguish it from other methods of spatial modelling. The properties recognized as characteristic for cartographic modelling include space portraying that enables identification of types of objects and phenomena, describing spatial relationships between objects, as well as their positioning in the applied reference system. In the authors’ opinion, properties of cartographic modelling include also the intentional application of a specific level of generalization determined by the objective of the map, aware authorship of the message, unambiguity of communication and symbolization based on knowledge. The proposed approach should facilitate the classification of different products designed to represent space.

scholarly journals Gaussian Transformation Methods for Spatial Data

Geosciences ◽  
2021 ◽  
Vol 11 (5) ◽  
pp. 196
Author(s):  
Emmanouil A. Varouchakis
Keyword(s):  
Spatial Data ◽  
Random Number Generator ◽  
Data Transformation ◽  
Rainfall Data ◽  
Public Access ◽  
Negative Sign ◽  
Alternative Methods ◽  
Positive Sign ◽  
Observation Data ◽  
Transformation Methods

Data gaussianity is an important tool in spatial statistical modeling as well as in experimental data analysis. Usually field and experimental observation data deviate significantly from the normal distribution. This work presents alternative methods for data transformation and revisits the applicability of a modified version of the well-known Box-Cox technique. The recently proposed method has the significant advantage of transforming negative sign (fluctuations) data in advance to positive sign ones. Fluctuations derived from data detrending cannot be transformed using common methods. Therefore, the Modified Box-Cox technique provides a reliable solution. The method was tested in average rainfall data and detrended rainfall data (fluctuations), in groundwater level data, in Total Organic Carbon wt% residuals and using random number generator simulating potential experimental results. It was found that the Box-Cox technique competes successfully in data transformation. On the other hand, it improved significantly the normalization of negative sign data or fluctuations. The coding of the method is presented by means of a Graphical User Interface format in MATLAB environment for reproduction of the results and public access.

Review of Spatial and Non-spatial Data Transformation to 3D Geovisualization for Natural Disaster

2017 ◽  
pp. 340-351
Author(s):  
Muhammad Yudhi Rezaldi ◽  
Rabiah Abdul Kadir ◽  
Mohamad Taha Ijab ◽  
Azlina Ahmad
Keyword(s):  
Natural Disaster ◽  
Spatial Data ◽  
Data Transformation

The Fundamentals of the Clinical Fellowship Experience

2016 ◽  
Vol 1 (11) ◽  
pp. 81-85
Author(s):  
Melanie Hudson
Keyword(s):  
Growth And Development ◽  
Transition Period ◽  
Clinical Skills ◽  
Practical Experience ◽  
Professional Experience ◽  
New Graduate ◽  
Independent Practitioner

The Clinical Fellowship Experience is described by the American Speech-Hearing-Language Association (ASHA) as the transition period from constant supervision to independent practitioner. It is typically the first paid professional experience for the new graduate, and may be in a setting with which the new clinician has little or even no significant practical experience. The mentor of a clinical fellow (CF) plays an important role in supporting the growth and development of this new professional in areas that extend beyond application of clinical skills and knowledge. This article discusses how the mentor may provide this support within a framework that facilitates the path to clinical independence.

Towards the digital land reclamation

2020 ◽  
pp. 5-9
Author(s):  
Sergey Vasil'ev ◽  
Vyacheslav Schedrin ◽  
Aleksandra Slabunova ◽  
Vladimir Slabunov
Keyword(s):  
Retrospective Analysis ◽  
Land Reclamation ◽  
Practical Experience ◽  
Maximum Effect ◽  
Optimal Management ◽  
Scientific Potential ◽  
History Of ◽  
Definition Of ◽  
Further Development ◽  
Full Cooperation

The aim of the research is a retrospective analysis of the history and stages of development of digital land reclamation in Russia, the definition of «Digital land reclamation» and trends in its further development. In the framework of the retrospective analysis the main stages of melioration formation are determined. To achieve the maximum effect of the «digital reclamation» requires full cooperation of practical experience and scientific potential accumulated throughout the history of the reclamation complex, and the latest achievements of science and technology, which is currently possible only through the full digitalization of reclamation activities. The introduction of «digital reclamation» will achieve greater potential and effect in the modernization of the reclamation industry in the «hightech industry», through the use of innovative developments and optimal management decisions.

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