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Mountain List Builder

Filter, sort, and save custom mountain lists from the entire MountainFYI database

Generator

The Mountain List Builder is the power user's tool for exploring the MountainFYI database. It provides a multi-criteria filter and sort interface that lets users build, refine, and save custom mountain lists from the complete catalog. Think of it as a spreadsheet-like query builder for mountains — filter by country, elevation range, difficulty, prominence, challenge membership, and more, then sort by any column and save the result.

Unlike the 'Mountains Near Me' tool (which starts from a geographic center), the List Builder starts from the full database and narrows down. This enables queries like 'All mountains above 5,000m in South America with Difficulty Grade 3 or less' or 'All Munros I haven't climbed yet, sorted by difficulty.' The tool supports compound filters with AND logic and provides instant result counts as filters are adjusted.

Built lists can be shared via unique URLs, exported as CSV for spreadsheet analysis, or saved to the user's browser for ongoing tracking. Each list shows aggregate statistics: average elevation, total peaks, country distribution, and difficulty distribution histogram.

The tool includes a 'Smart Lists' feature with pre-built queries for common use cases: 'Easiest mountains above 4,000m,' 'Most prominent peaks by continent,' 'Mountains with cable cars,' and similar curated starting points.

यह कैसे काम करता है

  1. Start with the full MountainFYI database (result count shown: "Showing 12,847 mountains")
  2. Add filters one by one using the filter panel:
  3. Country/Region
  4. Elevation range (min/max)
  5. Difficulty grade (1-5)
  6. Prominence range (min/max)
  7. Challenge membership (e.g., "Only Munros")
  8. Features (has cable car, has hot springs, UNESCO, etc.)
  9. Watch the result count update in real-time as each filter is applied
  10. Sort results by any column: Name, Elevation, Difficulty, Prominence, Country, Popularity
  11. Toggle between list view (table) and map view (all results plotted)
  12. Click "Save List" to bookmark with a custom name (stored in browser localStorage)
  13. Click "Share" to generate a unique URL, or "Export CSV" for spreadsheet analysis
  14. Use "Smart Lists" for pre-built starting points

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पर्वत मिले

आपके फ़िल्टर से कोई पर्वत मेल नहीं खाता। अपने मानदंड समायोजित करने का प्रयास करें।

उपयोग के मामले

संबंधित शब्द

Ultra-Prominent Peak Prominence

How to Use

  1. 1
    Apply database filters to define your list criteria

    Use the multi-criteria filter panel to select peaks by continent, mountain range, minimum elevation, minimum topographic prominence, difficulty grade, and best climbing season. The builder updates the results count in real time as you adjust each filter.

  2. 2
    Add and organize selected peaks

    Add individual mountains to your custom list or batch-add all filtered results. Reorder peaks by elevation, prominence, or name, and annotate individual entries with personal notes such as target date or ascent style.

  3. 3
    Export or share your list

    Export the completed list as a CSV or PDF for use in expedition planning documents, or generate a shareable link that can be sent to climbing partners. The exported format includes all key statistics — elevation, prominence, coordinates, difficulty, and best season — for each peak.

About

Mountaineers have built peak lists for as long as the sport has existed. From the Seven Summits of Richard Bass and Pat Morrow through the Fourteen Eight-Thousanders of Reinhold Messner, curated summit collections provide goal structure for a lifetime of climbing and a shared vocabulary among mountain athletes worldwide. The Mountain List Builder extends this tradition by providing a power-user interface to the MountainFYI database, enabling custom list creation based on any combination of geographic, elevational, and difficulty criteria.

The multi-criteria filter system draws on the database's core classification fields — continent, range, massif, minimum elevation, minimum prominence, UIAA alpine grade, and best season — to allow users to define precisely the scope of their ambitions. Whether building a regional "100 highest peaks" list using a 150-metre prominence threshold, or constructing a personal tick-list of alpine-grade peaks in the eastern Alps within a day's drive, the filter engine returns a curated result that reflects genuine geographic and mountaineering criteria rather than arbitrary selections.

List export functions produce structured data files compatible with expedition planning software and GPS device waypoint importers. The CSV output follows a schema consistent with GPX (GPS Exchange Format) attribute conventions, enabling direct import into route planning platforms such as Caltopo, Gaia GPS, and Garmin BaseCamp. The shareable-link feature supports collaborative expedition planning, allowing team members to review, annotate, and collectively modify the list ahead of an expedition — a workflow increasingly adopted by commercial guiding operations and club expedition committees.

FAQ

What are the Seven Summits, and who standardized the list?
The Seven Summits are the highest peaks on each of the seven continents and represent the most celebrated mountaineering collection challenge. Richard Bass completed the first recognized ascent of all seven in 1985 using the Bass List, which includes Kosciuszko (2,228 m) as the Australian continental high point. Pat Morrow completed the Messner List variant in 1986, substituting Carstensz Pyramid (4,884 m) in New Guinea — technically part of the Australian tectonic plate — as the higher and more demanding objective. The Messner List is now generally considered the more rigorous standard by the mountaineering community, though both lists have valid geographic rationales. A combined "Seven Summits Plus" challenge including both Kosciuszko and Carstensz Pyramid has also gained traction.
What are the Eight-Thousanders, and how many have been summited without supplemental oxygen?
The Fourteen Eight-Thousanders are the fourteen peaks on Earth that exceed 8,000 m above sea level: Everest, K2, Kangchenjunga, Lhotse, Makalu, Cho Oyu, Dhaulagiri, Manaslu, Nanga Parbat, Annapurna, Gasherbrum I, Broad Peak, Gasherbrum II, and Shishapangma. As of the Himalayan Database's 2023 compilation, all fourteen had been summited without supplemental oxygen, though the number of climbers who have done so remains a small fraction of total summiteers. Reinhold Messner and Peter Habeler made the first supplemental-oxygen-free Everest summit in 1978; Messner completed all fourteen eight-thousanders without supplemental oxygen in 1986.
What is topographic prominence, and why is it used to filter mountain lists?
Topographic prominence quantifies the vertical rise from a summit to its key col — the highest saddle connecting it to any higher peak — and thereby measures how independently significant a summit is. Peaks with low prominence are sub-tops or shoulders of higher mountains rather than independent summits. Standard mountain lists use prominence thresholds to prevent sub-tops from dominating results: the World Mountain List (Peaklist.org) uses 1,500 m for ultra-prominent peaks, while national-level "top-100" lists often use 500 m or 150 m thresholds depending on the topographic character of the region. Prominence is therefore the primary filter for constructing a list of genuinely independent peaks rather than a list dominated by the shoulders of a few large massifs.
What is the distinction between a mountain range and a massif in geographic classification?
A mountain range is an extended linear or arcuate series of mountains formed by the same geological process and sharing a continuous ridgeline or drainage divide — the Alps, the Andes, and the Himalaya are examples. A massif is a compact, relatively isolated group of mountains or a single large mountain with multiple summits and ridges forming a coherent high-topography unit — Mont Blanc Massif, the Bernese Oberland, or Nanga Parbat with its multiple ridges. The distinction matters for list-building because filtering by range groups peaks sharing a geological context, while filtering by massif isolates a single complex object. Geographic databases use these terms with some inconsistency; the MountainFYI database applies the definitions codified by the International Geographical Union (IGU) Commission on Mountain Research.
How are elevation and prominence data quality-assured in the database?
Each peak entry in the MountainFYI database carries a data quality indicator reflecting the source of its elevation: surveyed (national geodetic survey or GPS-verified expedition measurement, highest quality), DEM-derived (computed from SRTM, ASTER GDEM, or Copernicus DEM 30-metre resolution data, moderate quality), and literature-reported (elevation taken from published expedition accounts without independent verification, lowest quality). Users building precision lists — for example, a list of the 100 highest peaks in a given range — should filter to surveyed or DEM-derived elevations. DEM data has vertical accuracy of approximately ±10–15 m for 30-metre resolution models, sufficient for distinguishing peaks that differ by more than 30 m.

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