DEM Embedding in GNSS-Based Navigation Using a Statistical Modeling

Given the boom linked to smart mobility, transport systems require increasingly precise and relevant navigation applications to offer optimized journeys in terms of time and energy consumption, such as for HEV. Most of these navigation applications are based on the processing of 2D digital road maps, while taking into account the GNSS location of vehicles. These localization systems also integrate sensors such as accelerometers and gyroscopes to overcome the well-known problems of GPS positioning, even if the current limited introduction of IoT in the transport industry has made it possible to develop new aided-GPS methods such as geofencing. This paper focuses on one important parameter in the journey optimization of land vehicles: the road slope. We propose a method to estimate the roads’ inclination parameters by fusing GNSS, INS, OSM and ASTER GDEM data through a nonlinear filter. The incremental estimate of the slope will complement the 2D modeling of the roads already available in OpenStreetMap and could be used in route planning optimization. The scientific novelty lies more specifically in the statistical map-matching approaches that we develop both for OSM and DEM data. Estimation results of the roads slopes are shown in experimental conditions.

Application of K-Means Cluster and Spatial Statistics using Python to Analyze the Indicators of Indonesia Information Technology

The use of computers and the internet is very important for business improvement. Analysis of its use for delineation and development plans in order to provide a better role in the business field. The problem is that there is no information technology literacy map in Indonesia that can provide an overview for national policy formulation. The research was carried out to compile a map of mastery of information technology in Indonesia by data mining from the Central Bureau of Statistics and analyzed it into 4 clusters of mastery of information technology. The presentation results in the form of a spatial statistical map showing the mastery of information technology makes it easier for executive decisions to be made, which can be followed up with education, socialization and other floating plans to increase indications of mastery of information technology to increase business success.

Reaffirmation of J. Bertin's Ordinal Matrix for business strategy decision – taking apart of visualized data on map and reconstruction by the Ordinal Matrix

<p><strong>Abstract.</strong> Visualization of statistical data is used for a good communication among involved personals. Taking an example of question on earthquake, it is important to review information where it will be occurred and how strong intensity is. Cartogram types of maps allow to easily see such information at a glance for everyone.</p><p>In case of insurance companies who develop their business worldwide, the map let them understand where we see earthquake risks without knowing local location information. This means that a European underwriter can review it even if this personal do not know Japanese earthquake risk at all, for example. So, the map is one of fundamental tools to assess where the company shall take insurance risks more or do not take it. In other word, where they efficiently do marketing to provide insurance? For marketing strategy, it is needed to see and to analyse several issues at once, i.e., how much exposures they are retaining within their portfolio, how much loss they will pay in future and how many expected clients they will have. Analysis for each aspect can be done by using a map to visualize relevant data. This is known as statistical map.</p><p>However, a simultaneous observation of different maps is not easy to see and understand how each aspect of alanysis should be considered with others. Now, this paper aim to show a capability of Jacques Bertin’s Ordinal Matrix. So, information on maps is taken and integrated by Bertin’s Matrix to analyse all information at once. And we will see how the Matrix lead us to make a decision for future strategy.</p>

Elaboration of topographic bases for statistical maps, their contents and importance

The author’s objective is to present the role of base contents for a statistical map and determine its desired features which would influence optimum perception of the main contents of the map. The article consists of two main parts. The first part discusses selection of cartographic projection. Presented recommendations could be summarized in a short conclusion that application of equal-area projections is the optimum solution. It results from the necessity of preserving correct spatial relations during the perception of the thematic map contents. It is recommended to show cartographic graticule on statistical maps, for it helps to recognize geometrical attributes of the map and plays the localizing role. The second part of the article concentrates on the issue of selection of base contents’ elements on statistical maps. Such selection depends on the method of presentation of the thematic contents of the map. Because of that the optimum contents of the map is discussed in the context of basic cartographic presentation methods, i.e. the dot method, the choropleth method, the diagram method and the isoline method. The role of base elements in the process of reading of the main contents is also underlined. It is shown that it is not only the localizing role. Including additional elements of base contents facilitates understanding of the spatial distribution of the phenomenon which is the main topic of the map. The article encourages extension of the contents of statistical maps by additional elements of contents, which, while keeping correct spatial relations, can improve the efficiency of map use.

The prevalence, structure and dynamics of mental disorders and behavioral disorders in young children living in foster families

A longitudinal cohort study of 65 infants in the period of transfer to a foster family (1 month) and a year to adapt to the foster family, the control group consisted of 90 children brought up in their families. We used clinical method of study used a structured clinical and statistical map comparable to ICD-10. The data on the prevalence, structure and dynamics of mental disorders of young children are brought up in foster families. The conclusion of an unfavorable state of children's mental health when transferred to foster families and multidirectional dynamics of education through the year. The conclusion about the need to develop a comprehensive approach accompanied by foster families.

Using Maps to Display Geographic Risk, Personal Health Data, and Ownership

Fundamental structural features of risk maps influence how health risk and burden information is understood. The mapping of health data by medical geographers in the 1800s has evolved into the field of geovisualization and the use of online, geographic information system (GIS) interactive maps. Thematic (statistical) map types provide basic principles for mapping geographic health data. It is important to match the nature of statistical data with map type to minimize the potential for communicating misleading messages. Strategic use of structural map features can facilitate or hinder accurate comprehension of health risk messages in maps. A key challenge remains in designing maps to communicate a clear message given the complexity of modern health risk burdens. Various structural map features such as symbols, color, grouping of statistical data, scale, and legend must be considered for their impact on accurate comprehension and message clarity. Cognitive theory in relationship to map comprehension plays a role, as do insights from research on visualizing uncertainty, future trends in developing predictive mapping tools for public health planning, the use of geo-social and “big data,” as well as data ownership.