Monitoring land use changes using geo-information : possibilities, methods and adapted techniques

Monitoring land use with geographical databases is widely used in decision-making. This report presents the possibilities, methods and adapted techniques using geo-information in monitoring land use changes. The municipality of Soest was chosen as study area and three national land use databases, viz. Top10Vector, CBS land use statistics and LGN, were used. The restrictions of geo-information for monitoring land use changes are indicated. New methods and adapted techniques improve the monitoring result considerably. Providers of geo-information, however, should coordinate on update frequencies, semantic content and spatial resolution to allow better possibilities of monitoring land use by combining data sets

The Need For Technology And Approaches Of Tomorrow

Having land rights for all at the short term at affordable cost and with an acceptable quality is a clear ambition that has been defined by many national and international organizations worldwide. In speeding up the development of land registration, the knowledge and technology of tomorrow are key enablers. Innovation and the embracement of unforeseen developments are believed to be a prerequisite for success. Innovations in land administration sector should not only be seen as to be dependent on technology. Also process innovation is important as human, social and ethical criteria are dynamic factors as well as our (the understanding of the) physical environment we live in. Modern day technology also offers a lot of possibilities for the involvement of users. It is believed that a user demand driven development of land administration will result in higher sustainability. Besides the United Nations (UN GGIM and its Expert Group on Land Administration and Management), other global organised organisations play an important role in impelling the development of land administration worldwide. Examples are FIG, World Bank, ISO and OGC. As innovation is not a linear process nowadays, meeting the objectives is therefore dependent on the rate of innovation in our sector. In this assumption, the relevance of change, the influence of technology, the ability of land administrations to adapt (and perhaps show leadership) including the key role of users should be emphasized. It is believed that stakeholder involvement is crucial in sustainable development of land administration systems, which has many different aspects. Apart from technology also standardisation, societal constellation, partnerships (including finance and business models) and capacity building give opportunities for acceleration of developments

Gebruikersspecificaties TOP10-21ste eeuw

De Topografische Dienst Nederland (TDN) wil zijn geo-informatieproduct TOP10-vector vernieuwen. Als eerste stap in dit vernieuwingsproces zijn de gebruikersspecificaties geïnventariseerd. Via literatuurstudie, brainstormsessies en raadpleging van de gebruikers zijn elf specificaties geformuleerd voor het TOP10-product in de 21e eeuw

Evaluatie prototype TOP10-21ste eeuw

De Topografische Dienst Nederland (TDN) wenst haar geo-informatie product "TOP10 vector" te vernieuwen. Als laatste fase in dit vernieuwingsproces is het prototype getest en geëvalueerd aan de op gebruikerseisen van huidige en potentiële gebruikers gebaseerde gebruikersspecificaties

4pi Models of CMEs and ICMEs

Coronal mass ejections (CMEs), which dynamically connect the solar surface to the far reaches of interplanetary space, represent a major anifestation of solar activity. They are not only of principal interest but also play a pivotal role in the context of space weather predictions. The steady improvement of both numerical methods and computational resources during recent years has allowed for the creation of increasingly realistic models of interplanetary CMEs (ICMEs), which can now be compared to high-quality observational data from various space-bound missions. This review discusses existing models of CMEs, characterizing them by scientific aim and scope, CME initiation method, and physical effects included, thereby stressing the importance of fully 3-D ('4pi') spatial coverage.Comment: 14 pages plus references. Comments welcome. Accepted for publication in Solar Physics (SUN-360 topical issue

Reproducibility in the absence of selective reporting : An illustration from large-scale brain asymmetry research

Altres ajuts: Max Planck Society (Germany).The problem of poor reproducibility of scientific findings has received much attention over recent years, in a variety of fields including psychology and neuroscience. The problem has been partly attributed to publication bias and unwanted practices such as p-hacking. Low statistical power in individual studies is also understood to be an important factor. In a recent multisite collaborative study, we mapped brain anatomical left-right asymmetries for regional measures of surface area and cortical thickness, in 99 MRI datasets from around the world, for a total of over 17,000 participants. In the present study, we revisited these hemispheric effects from the perspective of reproducibility. Within each dataset, we considered that an effect had been reproduced when it matched the meta-analytic effect from the 98 other datasets, in terms of effect direction and significance threshold. In this sense, the results within each dataset were viewed as coming from separate studies in an "ideal publishing environment," that is, free from selective reporting and p hacking. We found an average reproducibility rate of 63.2% (SD = 22.9%, min = 22.2%, max = 97.0%). As expected, reproducibility was higher for larger effects and in larger datasets. Reproducibility was not obviously related to the age of participants, scanner field strength, FreeSurfer software version, cortical regional measurement reliability, or regional size. These findings constitute an empirical illustration of reproducibility in the absence of publication bias or p hacking, when assessing realistic biological effects in heterogeneous neuroscience data, and given typically-used sample sizes