Titlebook: Service-Oriented Mapping; Changing Paradigm in Jürgen Döllner,Markus Jobst,Peter Schmitz Book 2019 Springer International Publishing AG, pa

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Depiction of Multivariate Data Through Flow Mapsher. These maps depict univariate spatial origin-destination datasets, with flows represented as lines and quantified by their width. One main feature of these maps is the aggregation of flows that share the same origin. Thus, visual clutter is reduced and the readability improved. This chapter desc

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Humanitarian Demining and the Cloud: Demining in Afghanistan and the Western Saharaation of the environment by landmines and explosive remnants of war (ERW). One of the main objectives of mine action is to address problems faced by communities owing to landmine contamination. Since the removal of all landmines worldwide is improbable, the humanitarian demining sector focusses on r

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Modern Requirement Framework for Geospatial Information in Security and Government Services of the geospatial service delivery. During the requirement design the special needs of the service target group needs to be comprehended and translated into concrete map layouts, geospatial data content or topology and symbols, which should provide the necessary information for the end user. Especi

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Developing a Statistical Geospatial Framework for the European Statistical Systemnd dissemination of statistics for more than a decade. There is now general consensus in the European statistical community on the best methodology for linking statistics to a location through the exact geocoding of statistical units—persons, buildings, enterprises and households—to a point-based ge

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Vizzuality: Designing Purposeful Maps to Achieve SDGs data movement, the huge growth of cheap cloud storage, and broader access to the internet through smartphones. This poses a double-edged sword: we know more about our world than ever before, but making sense of all this data and communicating that to a general audience can be a big challenge. Vizzu

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Geospatial Data Mining and Analytics for Real-Estate Applications. The official statistics often provide only annual indices on national level based on transactions of previous year. The stakeholders of the real estate markets however request analysis of higher spatial resolution on local level based recent transactions. This paper focuses on methodology of autom

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SDI Evolution and Map Productionto understand geographic information provided by an SDI. SDIs emerged in the 1990s when paper maps were replaced by map production from digital geographic information. They evolved from government-funded initiatives within the geographic information science (GISc) community to SDIs with a variety of

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Handling Continuous Streams for Meteorological Mappingeteorological data streams used in both, in the field of sciences and for operational tasks, e.g. in national meteorological weather services. Application for weather services and products have a strong cross domain impact, hereby interoperability, standard conformal data use are essential for every

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Datacubes: Towards Space/Time Analysis-Ready Datancept of seamless maps from 2-D to n-D, is based on preprocessing incoming data so as to integrate all data form one sensor into one logical array, say 3-D x/y/t for image timeseries or 4-D x/y/z/t for weather forecasts. This enables spatial analysis (both horizontally and vertically) and multi-temp