The DOI matches its Crossref record.
Modelling topographic variation in solar radiation in a GIS environment
Abstract
Clear sky shortwave solar radiation varies in response to altitude and elevation, surface gradient (slope) and orientation (aspect), as well as position relative to neighbouring surfaces. While the measurement of radiation flux on a relatively flat surface is straightforward, it requires a dense network of stations for mountainous terrain. The model presented here uses a digital elevation model to compute potential direct solar radiation and diffuse radiation over a large area, though the model may be modified to include parameters such as cloud cover and precipitable water content of the atmosphere. The purpose of this algorithm is for applied work in forestry, ecology, biology and agriculture where spatial variation of solar radiation is more important than calibrated values. The ability of the model to integrate radiation over long time periods in a computationally inexpensive manner enables it to be used for modelling radiation per se, or input into other hydrological, climatological or biological models. The model has been implemented for commercially available GIS (viz. Arc Info and Genasys) and is available over the Internet.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Applications of 3D City Models: State of the Art Review
Biljecki, F., Stoter, J., Ledoux, H., Zlatanova, S., & Çöltekin, A. (2015) · ISPRS International Journal of Geo-Information · doi:10.3390/ijgi4042842 · Cited by 836
Predictive mapping of alpine grasslands in Switzerland: Species versus community approach
Zimmermann, N. E., & Kienast, F. (1999) · Journal of Vegetation Science · doi:10.2307/3237182 · Cited by 396
What drives fine‐scale movements of large herbivores? A case study using moose
Leblond, M., Dussault, C., & Ouellet, J. (2010) · Ecography · doi:10.1111/j.1600-0587.2009.06104.x · Cited by 77
Metadata
- Authors
- KUMAR, L., SKIDMORE, A. K., & KNOWLES, E.
- Venue
- International Journal of Geographical Information Science
- Publisher
- Informa UK Limited
- Published
- 1997-07
- Volume
- 11
- Issue
- 5
- Pages
- 475-497
- ISSN
- 0269-3798 (ISSN-L)
- 1365-8816
- 1362-3087
- OpenAlex
- W2054164595
- Cited by
- 593
- References
- 0
- FWCI
- 3.80
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Modelling topographic variation in solar radiation in a GIS environment. https://app.cochat.ai/papers/10.1080/136588197242266
- The paper
- KUMAR, L., SKIDMORE, A. K., & KNOWLES, E. (1997). Modelling topographic variation in solar radiation in a GIS environment. International Journal of Geographical Information Science. https://doi.org/10.1080/136588197242266
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.