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Empirical data can be characterized by a precise location in space and time. An estimated 80% of all data holds such a spatio-temporal reference and is termed geodata. This paper starts with the question: What is the additional benefit for socio-economic sciences using geodata and the spatial dimension respectively? In the following a multidimensional approach is chosen to outline the Status Quo of geodata and spatial techniques in Germany. It is particularly the continuously growing amount and the variety of available geodata which is stated. Data security is an issue of high importance when using geodata. Furthermore, the present developments in price and user concepts, accessibility, technical standards and institutionalisation are addressed. A number of challenges concerning the field of geodata are identified including the open access to geodata, data security issues and standardization. The main challenge however seems to be the exchange between the rather segregated fields of geoinformation and the information infrastructure. Furthermore, the census 2011 is identified as a major challenge for the acquisition and management of geodata. Geodata and spatial techniques are a rapidly developing field due to technology developments of data and methods as well as due to recently growing public interest. Their additional be efit for socioeconomic research should be exploited in the future.

"V0905"--P. [2]. ; Shipping list no.: 2008-0375-P. ; Caption title. ; Mode of access: Internet.

In this paper, the author presents intellectual property law policies related to geodata. The sole purpose of this paper is to open up this problem for further investigation and discussion. The concepts of geodata and legal interoperability have not received as much scholarly attention as they merit. Drafting one single model for geodata access is especially hard, given that geodata is produced and maintained in multifold environments. This makes it important to confront and discuss the factors influencing the licensing of geodata. On this basis the author proposes a taxonomy of the extremely diverse licenses for geodata.

<i>A definition of the concept of information was placed in the publication of spatial ata with reference to the hydrometeorological systems covering the country. The next keys to the encryption and transmitting of hydrometeorological measurement were specified in the international system for warning against the dangerous phenomena of the weather. The characteristics of meteorological data they presented were based on the system of weather satellites (circumpolar and geostationary) and of the POLRAD radar system, included in the radar security system of European space. At the end, a few examples were given of geoportals monitoring the state of the natural environment and elements of the ISOK security system, the SMOK system and SSH military system of the Republic of Poland.</i>

In the field of precision-farming research, solutions are worked out to combine ecological and economical requirements in a harmonic way. Integrating hightech in agricultural machinery, natural differences in the fields (biodiversity) can be detected and considered to economize agricultural resources and to give respect to natural ecological variability at the same time. Using precision farming resources, machining – and labour time can be economized, productivness can be improved, environmental burden can be discharged and documentation of production processes can be improved. To realize precision farming it is essential to make contemporary large scale data of the biodiversity in the field available. In the last years effectual traktor based equipment for real time precision farming applications was developed. Using remote sensing, biomass diversity of the field can be considered while applicating operating ressources economicly. Because these large scale data aquisition depends on expensive tractor based inspections, capable Unmanned Aerial Vehicles (UAVs) could complement or in special situations even replace such tractor based data aquisition needed for the realization of precision farming strategies. The specific advantages and application slots of UAVs seems to be ideal for the usage in the field of precision farming. For example the size of even large agricultural fields in germany can be managed even by smaller UAVs. Data can be captured spontaneously, promptly, in large scale, with less respect of weather conditions. In agricultural regions UAV flights can be arranged in visual range as actually the legislator requires in germany, especially because the use of autopilotsystems in fact is nessecary to assure regular area-wide data without gaps but not to fly in non-visible regions. Also a minimized risk of hazard is given, flying UAVs over deserted agricultural areas. In a first stage CIS GmbH cooperated with "Institute For Flightsystems" of the University of German Armed Forces in Neubiberg/Munich and the well-established precision farming company "Konsultationszentrum Liepen" to develop an applicable UAV for precision farming purposes. Currently Cis GmbH and Technologie Campus Freyung, with intense contact to the "flying robot"- team of DLR Oberpfaffenhofen, collaborate to optimize the existing UAV and to extend the applications from data aquisition for biomass diversity up to detect the water supply situation in agricultural fields, to support pest management systems as much as to check the possibilities to detect bark beetle attacks in european spruce in an early stage of attack (green attack phase) by constructing and integrating further payload modules with different sensors in the existing UAV airframe. Also effective data processing workflows are to be worked out. Actually in the existing UAV autopilotsystem "piccolo" (cloudcaptech) is integrated and also a replaceable payload module is available, carrying a VIS and a NIR camera to calculate maps of NDVI diversity as indicator of biomass diversity. Further modules with a 6 channel multispectral still camera and with a spectrometer are planned. The airframe´s wingspan is about 3,45m weighting 4.2 kg, ready to fly. The hand launchable UAV can start from any place in agricultural regions. The wing is configured with flaps, allowing steep approaches and short landings using a "butterfly" brake configuration. In spite of the lightweight configuration the UAV yet proves its worth under windy baltic wether situations by collecting regular sharp images of fields under wind speed up to 15m/s (Beaufort 6 –7). In further projects the development of further payload modules and a user friendly flight planning tool is scheduled considering different payload – and airframe requirements for different precision farming purposes and forest applications. Data processing and workflow will be optimized. Cooperation with further partners to establish UAV systems in agricultural, forest and geodata aquisition is desired.

In the field of precision-farming research, solutions are worked out to combine ecological and economical requirements in a harmonic way. Integrating hightech in agricultural machinery, natural differences in the fields (biodiversity) can be detected and considered to economize agricultural resources and to give respect to natural ecological variability at the same time. Using precision farming resources, machining – and labour time can be economized, productivness can be improved, environmental burden can be discharged and documentation of production processes can be improved. To realize precision farming it is essential to make contemporary large scale data of the biodiversity in the field available. In the last years effectual traktor based equipment for real time precision farming applications was developed. Using remote sensing, biomass diversity of the field can be considered while applicating operating ressources economicly. Because these large scale data aquisition depends on expensive tractor based inspections, capable Unmanned Aerial Vehicles (UAVs) could complement or in special situations even replace such tractor based data aquisition needed for the realization of precision farming strategies. The specific advantages and application slots of UAVs seems to be ideal for the usage in the field of precision farming. For example the size of even large agricultural fields in germany can be managed even by smaller UAVs. Data can be captured spontaneously, promptly, in large scale, with less respect of weather conditions. In agricultural regions UAV flights can be arranged in visual range as actually the legislator requires in germany, especially because the use of autopilotsystems in fact is nessecary to assure regular area-wide data without gaps but not to fly in non-visible regions. Also a minimized risk of hazard is given, flying UAVs over deserted agricultural areas. In a first stage CIS GmbH cooperated with "Institute For Flightsystems" of the University of German Armed Forces in Neubiberg/Munich and the well-established precision farming company "Konsultationszentrum Liepen" to develop an applicable UAV for precision farming purposes. Currently Cis GmbH and Technologie Campus Freyung, with intense contact to the "flying robot"- team of DLR Oberpfaffenhofen, collaborate to optimize the existing UAV and to extend the applications from data aquisition for biomass diversity up to detect the water supply situation in agricultural fields, to support pest management systems as much as to check the possibilities to detect bark beetle attacks in european spruce in an early stage of attack (green attack phase) by constructing and integrating further payload modules with different sensors in the existing UAV airframe. Also effective data processing workflows are to be worked out. Actually in the existing UAV autopilotsystem "piccolo" (cloudcaptech) is integrated and also a replaceable payload module is available, carrying a VIS and a NIR camera to calculate maps of NDVI diversity as indicator of biomass diversity. Further modules with a 6 channel multispectral still camera and with a spectrometer are planned. The airframe´s wingspan is about 3,45m weighting 4.2 kg, ready to fly. The hand launchable UAV can start from any place in agricultural regions. The wing is configured with flaps, allowing steep approaches and short landings using a "butterfly" brake configuration. In spite of the lightweight configuration the UAV yet proves its worth under windy baltic wether situations by collecting regular sharp images of fields under wind speed up to 15m/s (Beaufort 6 –7). In further projects the development of further payload modules and a user friendly flight planning tool is scheduled considering different payload – and airframe requirements for different precision farming purposes and forest applications. Data processing and workflow will be optimized. Cooperation with further partners to establish UAV systems in agricultural, forest and geodata aquisition is desired.

The concept of geomediatization has proven to be productive for describing current processes of geodatafication and geospatial technologies. With its focus on their future, this thematic issue calls for research into geomediatization beyond a narrow geomediatization realism. In my commentary, I take up this call and present some reflections from my research on recent corporate involvement in OpenStreetMap and the messy politics of digital commons. I argue that OpenStreetMap can tell us something about geomedia futures that challenges geomediatization realism but is also a sort of geomediatization pragmatism. This is not disruptive futurism but a project of digital commons that is constantly negotiating power, access, and enclosure.

Integrating heterogeneous geospatial data sources is important in various domains like smart cities, urban planning and governance, but remains a challenging research problem. In particular, the production of high-quality integrated data from multiple sources requires an understanding of their respective characteristics and a systematic assessment of the consistency within and between the data sources. In order to perform the assessment, the data has to be placed on a common ground. However, in practice, heterogeneous geodata are often provided in diverse formats and organized in significantly different structures. In this work, we propose a framework that uses an ontology-based approach to overcome the heterogeneity by means of a domain ontology, so that consistency rules can be evaluated at the unified ontological representation of the data sources. In our case study, we use open governmental data from Open Data Portals (ODPs) and volunteered geographic information from OpenStreetMap (OSM) as two test data sources in the area of the province of South Tyrol, Italy. Our preliminary experiment shows that the approach is effective in detecting inconsistencies within and between ODP and OSM data. These findings provide valuable insights for a better combined usage of these datasets.

The FabSpace 2.0 project (the open-innovation network for geodata-based innovation - by leveraging Space data in particular, in universities 2.0), funded by European Union under the Horizon Programme, aims at making universities open innovation centres for their region and improving their contribution to the socio-economic and environmental performance of societies. In order to achieve these general objectives, the FabSpace 2.0 project focuses on Earth observation data, an area with high expected socio-economic impact. In this context the universities involved in the project must endorse a new role beyond knowledge providers: co-creators of innovations. This does not mean that they will replace businesses and give up basic research, but that they collaborate with businesses to tackle market challenges and capitalize on opportunities.

International audience ; The FabSpace 2.0 project (the open-innovation network for geodata-based innovation - by leveraging Space data in particular, in universities 2.0), funded by European Union under the Horizon Programme, aims at making universities open innovation centres for their region and improving their contribution to the socio-economic and environmental performance of societies. In order to achieve these general objectives, the FabSpace 2.0 project focuses on Earth observation data, an area with high expected socio-economic impact. In this context the universities involved in the project must endorse a new role beyond knowledge providers: co-creators of innovations. This does not mean that they will replace businesses and give up basic research, but that they collaborate with businesses to tackle market challenges and capitalize on opportunities.

International audience ; The FabSpace 2.0 project (the open-innovation network for geodata-based innovation - by leveraging Space data in particular, in universities 2.0), funded by European Union under the Horizon Programme, aims at making universities open innovation centres for their region and improving their contribution to the socio-economic and environmental performance of societies. In order to achieve these general objectives, the FabSpace 2.0 project focuses on Earth observation data, an area with high expected socio-economic impact. In this context the universities involved in the project must endorse a new role beyond knowledge providers: co-creators of innovations. This does not mean that they will replace businesses and give up basic research, but that they collaborate with businesses to tackle market challenges and capitalize on opportunities.

Financial Inclusion is, in many ways, a spatial planning issue: Where do financial institutions provide services, how far do customers travel to access mobile money, which services are available where and how is agent cash-flow handled? Utilising geodata can contribute significantly to measuring financial access and thus assist in improving Financial Inclusion by expanding the reach of services and locating areas of economic exclusion. This study presents a new Spatial Decision Support System, with a frontend embedded directly within a spreadsheet interface, that enables measuring and planning financial access through geospatial analysis and Earth Observation derived products. The purpose is to complement existing Financial Inclusion measures, which rely significantly on large-scale representative household surveys to quantify financial access and opportunity to proxy quality of inclusion. The Decision Support System relies on Earth Observation and Public Participatory GIS, which enables a decoupling from the census cycle and global reach. Our findings indicate that a geospatial approach to measuring and making decisions regarding the location of financial access points can positively affect both tracking and delivering Financial Inclusion and reducing the urban–rural service cliff-edge. Our proposed geospatial methodology is useful for decision-makers in two ways: a) It allows the measurement of the large-scale geospatial reach of financial services – useful for decision-makers, planners, politicians, national statistical offices, and NGOs in charge of tracking progress towards the Sustainable Development Goals. b) It helps with planning and optimising services for local financial entities such as mobile money agents, brick and mortar bank branches, and less formal saving mechanisms such as saving clubs. The Spatial Decision Support System is currently used by several Financial Service Providers in Ghana and undergoing implementation for one in North-western Tanzania.

Sharing of spatial information between the state establishments and private sector, based on standards for technical infrastructure of spatial data and services, is the strategic objective of the Mid-Term Program of Works of the Republic of Serbia, covering the National Spatial Data Infrastructure (NSDI) Instigation and the maintenance for the period from 2011 to 2015. With the objective to achieve the goals set, the research was performed, with the results published in the present paper. The paper shows the status in the Spatial Data Infrastructure instigation; with the evaluation of development level achieved and recommendations for the future INSPIRE Directive implementation in Serbia. Geodata status analysis was performed over the sample of 78 local government organisations, state administration bodies, public enterprises and educational institutions. Overview was given for use, the types and availability conditions for spatial data. The issues of NSDI concept implementation were particularly noted, referring to the pricing policy for spatial data use, for the legislation and issues in spatial data coordination in the Republic of Serbia.