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Record W1987624327 · doi:10.3138/f722-0825-3142-hw05

An Interactive Approach to Analytical Relief Shading

2001· article· en· W1987624327 on OpenAlexvenueno aff
Bernhard Jenny

Bibliographic record

VenueCartographica The International Journal for Geographic Information and Geovisualization · 2001
Typearticle
Languageen
FieldComputer Science
TopicComputer Graphics and Visualization Techniques
Canadian institutionsnot available
FundersFederal Office of Topography swisstopo
KeywordsShadingComputer graphics (images)Computer scienceSoftwareHumanitiesArtOperating system

Abstract

fetched live from OpenAlex

The software currently available for analytical relief shading does not generally permit local adaptations of the light direction, the simulation of aerial perspective, and other necessary techniques developed for manual relief shading. To remedy this deficiency, a program for computer-assisted relief shading has been developed that allows users to locally adapt shading characteristics, permitting seamless interactive control over the entire process. The grey values of the image are determined by a combination of aspect-based shading for steep regions, diffuse reflection for lowlands, and a bright grey tone for flat areas. Furthermore, an algorithm for the simulation of aerial perspective is presented. Tests with the program have shown that, with minimal investment of time, the quality of analytically produced shaded relief can be improved significantly. Using the proposed techniques and software presented herein, experienced cartographers can transfer their manual relief-shading knowledge and experience to the digital realm. L'estompage est un moyen de visualisation du relief en cartographie qui peut ªtre produit de manire traditionnelle (dessin manuel) ou par des calculs informatiques. Les logiciels d'estompage existants actuellement ne permettent pas d'adaptations locales de direction de la lumire. La simulation de perspective arienne ou des modifications manuelles y sont galement impossibles. Pour combler ces lacunes, un programme d'estompage assist par ordinateur t dvelopp. Il permet l'utilisateur d'adapter localement les estompages gr¢ce un contr´le interactif de l'intgralit du processus. Les valeurs de gris du relief y sont dfinies partir d'une combinaison de deux mthodes : l'estompage des pentes raides est calcul partir de l'orientation du relief, et l'estompage des surfaces plus planes est calcul partir de la rflexion diffuse de la lumire. Par ailleurs, un nouvel algorithme pour la simulation d'effets de perspective arienne t utilis afin d'amliorer ces estompages. Contrairement d'autres programmes du mªme type, il s'est avr que les cartographes ayant une solide exprience manuelle des techniques d'estompage, peuvent ici facilement transfrer leurs connaissances au monde digital.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.023
Threshold uncertainty score0.078

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.001
Open science0.0020.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0230.003

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.

Opus teacher head0.017
GPT teacher head0.324
Teacher spread0.307 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations42
Published2001
Admission routes1
Has abstractyes

Explore more

Same venueCartographica The International Journal for Geographic Information and GeovisualizationSame topicComputer Graphics and Visualization TechniquesFrench-language works237,207