Gorenjska
366summits351 resolved · 15 coverage-limited
Without a matched name: 15.3%
The result of a real 5 m analysis. Counts change with the question we ask.
Compare up to three places or altitude bands. Every view below responds to your choices.
Slovenia only · full prominence intervals must fit your range · blank fields mean no limit. These comparison filters are separate from the map explorer.
351 resolved · 15 coverage-limited
Without a matched name: 15.3%
87 resolved · 1 coverage-limited
Without a matched name: 21.6%
Gorenjska has the higher median elevation (1,524.7 m), while Zasavska has the higher median resolved prominence (88.3 m).
Median means the middle value in an ordered group, averaging the two middle values when needed. Medians describe the filtered summits, not the whole terrain. Prominence statistics exclude coverage-limited peaks, including some major mountains. The middle half is the 25th–75th percentile, not a confidence interval. Group counts can overlap and should not be added.
Select a dot to inspect a summit. Each colour follows a comparison group.
Hollow points mark lower bounds; dashed lines show coverage intervals. An upward arrow means no finite upper bound. These are not exact prominences.
677 m elevation · 325 m of prominence
Percentages make differently sized groups easier to compare. Counts show how many summits are behind them.
Select a bar to open that group and band on the map. Bands have fixed, unequal widths; bar length shows frequency, not density. Percentages use all qualifying summits in each group.
Raise minimum prominence and watch each group become more selective.
Thresholds are equally spaced categories. This curve ignores both selected prominence limits, keeping altitude and name filters. Percentages use each group's definite P20 count. Choose a threshold to apply it above.
| Minimum prominence | Gorenjska | Zasavska |
|---|---|---|
| P20 | 1,131 (100.0%) | 264 (100.0%) |
| P50 | 366 (32.4%) | 88 (33.3%) |
| P100 | 149 (13.2%) | 38 (14.4%) |
| P150 | 74 (6.5%) | 15 (5.7%) |
| P300 | 19 (1.7%) | 6 (2.3%) |
| P500 | 8 (0.7%) | 2 (0.8%) |
| P1000 | 1 (0.1%) | 0 (0.0%) |
Counts depend on group size. Altitude bands are descriptive, not formal mountain categories. No matched name means no associated GURS label. A regional summit cell may belong to two regions; shared points are drawn once in the scatterplot. These are patterns in the detected catalogue, not a completeness or hiking-difficulty score.
Summits inside Slovenia whose lower bound meets P50.
Both coverage calculations agree on prominence.
Exact prominence remains bounded; at least 50 m is established.
Each bar counts summits guaranteed to qualify under the model. Click a threshold to open that view.
P50 means prominence ≥50 m. These are results of the national model, not an official inventory of natural mountains.
We reran the same calculation after taking every 5th or 20th sample of the original grid. Everything else stayed the same.
| Spacing | Samples | P50 count |
|---|---|---|
| 5 m primary | 823.8 M | 2,578 |
| 25 m | 32.9 M | 2,431 |
| 100 m | 2.1 M | 2,022 |
Coarser spacing changes summit heights, saddles and even which peaks are detected. This is a sensitivity experiment, not a measured recall score against surveyed ground truth.
Native-grid subsampling from a fixed origin; no smoothing. Map display imagery uses tiled 80 m Web Mercator pixels. Summit calculations always use the native 5 m grid.
This atlas has not been independently checked against modern LiDAR or field surveys. Automatic name matches are provisional. Thin ridges, steep faces, vegetation-related errors, artificial landforms and acquisition age can affect the catalogue.
Official statistical regions and research-based mountain areas are different geographical lenses. Both filter the same continuous national calculation.
| GURS STATISTICAL REGION | CANDIDATES | P50 | |
|---|---|---|---|
| 99 | 5 | ||
| 696 | 131 | ||
| 355 | 128 | ||
| 1,304 | 419 | ||
| 264 | 88 | ||
| 379 | 105 | ||
| 1,210 | 268 | ||
| 1,052 | 335 | ||
| 1,131 | 366 | ||
| 988 | 230 | ||
| 1,428 | 444 | ||
| 359 | 90 |
Counts exclude the optional external border strip. Statistical region counts can overlap when a 5 m summit cell straddles a shared boundary; the national total counts each summit once. GMBA boundaries are generalized research units, not official hiking districts. Peaks outside those polygons remain under “Other hills”.
810,804,185 valid samples fall inside Slovenia’s statistical-region outline: 99.996% of its sampled grid centres. NoData remains explicit. The calculation uses all available surrounding GURS terrain before selecting Slovenia.
The full download also retains 118 candidate points up to 100 m beyond Slovenia’s boundary, where source terrain exists. They are hidden by default and explicitly flagged. This narrow display strip does not resolve key saddles farther abroad.
The original Gorenjska pilot used a rectangular study window. The Gorenjska picker now uses the official statistical region, so its count is not directly comparable with the pilot’s 518 P50 summits. The national calculation also has more terrain connections.
The next chapter: stronger validation.All four GURS quadrants are now combined. The next steps are broader cross-border terrain, a name review and comparison with newer LiDAR before making a completeness claim.