Skill UI

A comprehensive guide for structuring the 'Related Work' section of academic papers in the field of Computer Graphics and CAD. It emphasizes 'delta-first' writing, requiring authors to clearly articulate how their work differentiates from the most similar existing research, proving novelty rather than simply listing literature. Covers organization by technical contribution (Geometry, Rendering, CAD, etc.) and rigorous citation standards.

This guide provides a comprehensive checklist and systematic approach for enhancing the reproducibility of research in Computer Graphics and CAD. It addresses the inherent sensitivity of graphics and geometry results to environment variables, random seeds, rendering parameters, and data versions, ensuring that published results can be reliably replicated by reviewers and readers.

This guide assists researchers in validating if their proposed topic aligns with the scope of the Journal of Computer-Aided Design & Computer Graphics (JCAD&CG). It systematically checks the core contribution, focusing on graphics, geometry, visualization, VR/AR, and CAD/CAE techniques, helping authors ensure sufficient technical increment and preventing rejection due to scope mismatch.

Provides comprehensive guidelines for authors submitting empirical, quantitative, or theoretical growth papers. It details how to package data sources, code pipelines, calibration files, and historical/geospatial artifacts to meet stringent reproducibility standards for publishing journals.

This comprehensive guide provides advanced methodological strategies for authors submitting to the Journal of Economic Geography (JEG). It addresses critical challenges in establishing causal inference using spatial data, such as spatial autocorrelation, spillover effects (SUTVA violations), and structural elasticity identification. It covers modern techniques for spatial DID, Network Equilibrium Models (NEG), and qualitative case studies, ensuring methodological rigor.

This guide provides advanced strategies for positioning a research contribution within the complex academic landscape of Economic Geography. It emphasizes that strong positioning must bridge multiple, distinct scholarly frontiers (e.g., quantitative-spatial economics and evolutionary geography) rather than focusing on a single literature, ensuring the work meets the rigorous standards of top-tier journals.

A comprehensive guide for authors responding to major revisions on highly selective, cross-disciplinary journals (like JEG). It teaches how to structure a rebuttal letter that successfully addresses conflicting feedback from referees—balancing econometric rigor with regional geographic context—ensuring the core contribution remains intact.

A comprehensive guide for authors submitting manuscripts to cross-disciplinary journals (e.g., Economics and Geography). It details how to anticipate and pre-emptively address systematic objections from two distinct scholarly communities, ensuring the paper satisfies both rigorous quantitative methods and deep spatial theory. Use this when your work bridges two fields and needs to survive double-anonymous review.

This comprehensive guide details how to build a robust, credible, and shareable replication package for a Journal of Economic Geography (JEG) manuscript. It focuses heavily on documenting spatial data provenance, handling version control for boundaries and projections, and scripting complex spatial joins to preempt reproducibility concerns, even though JEG's policy is post-acceptance.

A comprehensive guide for authors in spatial economics on conducting rigorous robustness checks. It systematically addresses common spatial threats—such as the Modifiable Areal Unit Problem (MAUP), spatial weight matrix sensitivity, and spatial autocorrelation—to ensure published results are scientifically sound and not artifacts of the data definition or model specification. Essential for high-level academic submissions.

A comprehensive preflight checklist for submitting manuscripts to the Journal of Economic Geography (JEG) via Oxford University Press (OUP). This guide ensures authors meet strict academic standards, including double-anonymous scrubbing, adherence to word/abstract limits, proper ORCID inclusion, and correct formatting for successful initial review.

This guide provides essential best practices for presenting spatial evidence in academic papers, particularly in economic geography. It emphasizes that maps and tables must make an explicit argument—show variation, spatial discontinuity, or gradients—rather than merely decorating the data. Learn how to properly report spatial model coefficients, handle projections, and avoid common cartographic and statistical pitfalls.