Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Abstract. The world is facing the second year of the Covid-19 global pandemic that has affected many around the world. Despite the challenges, ISPRS is organizing its second consecutive virtual Congress to motivate, inspire and connect geospatial researchers around the globe to share the knowledge and communicate their research results. This year Commission IV shares the successful research endeavours of many members of working groups and their graduate students and research teams.In the years since the XXIII ISPRS congress, 2016, there have been many important developments. Managing the social and economic challenges brought by increased complexity and interconnectivity of activities in human society requires new dimensions of analysing information and specifically spatial information. The increased pressure on the usage of geographic space, maintaining sustainable development and creating liveable community environments increases the requirements for spatial decision-making tools. The last years of Covid-19 restrictions and lockdowns pose a range of new challenges to spatial information such as occupancy estimations, efficient use of building space and safe navigation within buildings. The focus on dynamic changes and analysing real-time sensor data is increasing. The developments of Spatial Digital Twins are maturing in the context of providing tools and methods for high density human settlements to be more resilient, sustainable, liveable, and safe.Commission IV Spatial Information Science (2016–2022) is dedicated to advance research activities in spatial information sciences for modelling, structuring, management, analysis, visualization and simulation of (big) data with focus on the third spatial dimension and taking into consideration dynamic changes. Special attention is given to linking information about real-world physical phenomena with societal, governmental, organizational and legal information in order to address the complexity of issues in their entirety. The Commission has contributed to advancements in data modelling, data fusion and management, visualization (web-based, VR and AR), simulation and city analytics, and 3D applications. The work had largely been implemented in cooperation with international organizations such as FIG, UDMS, 3DGeoinfo, ICA, OGC, ISO and Web3D.The Commission consists of 10 scientific areas of research that is coordinated by 10 working groups (WG) and one inter commission working group (ICWG) as follows – WG1: Multidimensional spatial models; WG2: Ontologies, semantics and knowledge representation for geospatial information; WG3: Spatial data analysis, statistic and uncertainty modelling; WG4: Collaborative crowdsourced cloud mapping (C3M); WG5: Indoor/outdoor seamless modelling, LBS and mobility; WG6: SDI: Internet of things and spatial decision support; WG7: Geo-data management; WG8: Geo-computation and geo-simulation; WG9: Geovisualisation, augmented and virtual reality; WG10: Advanced geospatial applications for smart cities and regions; ICWG IV/III: Global mapping: updating, verification and interoperability.The papers received for the ISPRS virtual event reflect the above-mentioned scientific research areas. The reported research ranges from advancements in new and emerging theories, through experiments and analysis to demonstration of technologies in different applications. The research was captured through papers and abstracts published in the collection of ISPRS Annals and ISPRS Archives. The ISPRS Annals contain 24 papers and the ISPRS Archives contain 56 papers. The diversity of the research presented in the published papers clearly indicates the wide range of topics within the field of Spatial Information Science. A rigorous peer-review process by the ISPRS TC IV Scientific Committee contributed to high quality proceedings.In closing we would like to note the commission’s plans for the upcoming year. Because the pandemic has forced many to work remotely, we have been motivated to find new ways to remain informed of changes in the work of the commission and working groups. The commission plans to host monthly webinars at which working groups can showcase their activities and achievements. We hope that this will generate greater interest in the work of the commission and enhance the profile of the commission’s working groups.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it