SleekRank for landslide event pages
Landslide event data lives in the USGS landslide inventory as a downloadable geospatial dataset. SleekRank reads the file and emits one WordPress page per event under /landslide-events/{slug}/, with trigger, volume, location, and Event schema fields, all from one source.
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Landslide events need a page each, not a geospatial download
The USGS landslide inventory catalogs roughly 10,000 documented landslide events across the United States through a geospatial dataset published by the Landslide Hazards Program. The canonical record is a shapefile and CSV that hazard researchers, state geological surveys, and infrastructure planners pull and parse independently because the public-facing surface is a desktop GIS dataset and a static report, not an indexable URL set per event.
SleekRank reads the inventory file directly and renders one WordPress page per event. Each page carries event ID, date, state, county, trigger, landslide type, volume estimate, area affected, fatalities, and an Event schema block, driven by tag and selector mappings on a shared base page. The URL pattern is /landslide-events/{slug}/, and the corpus refreshes after the next cache window.
Operations stays in the inventory file. State geological surveys submit updates, the cache flushes, and every URL reflects the new attribution. The data file remains the source of truth across federal, state, and local-survey contributors to the inventory.
Workflow
From USGS inventory to a landslide corpus
Design the landslide base page
Connect the inventory source
Wire schema, trigger, and type
Handle inventory revisions
Data in, pages out
USGS landslide inventory, one page per event
| slug | event_id | date | state | trigger |
|---|---|---|---|---|
| oso-2014-03-22 | USGS-LS-2014-001 | 2014-03-22 | WA | Rainfall |
| la-conchita-2005-01-10 | USGS-LS-2005-002 | 2005-01-10 | CA | Rainfall |
| big-sur-2017-05-20 | USGS-LS-2017-005 | 2017-05-20 | CA | Rainfall |
| highway-1-2017-05-20 | USGS-LS-2017-006 | 2017-05-20 | CA | Rainfall |
| mud-creek-2017-05-20 | USGS-LS-2017-007 | 2017-05-20 | CA | Rainfall |
/landslide-events/{slug}/
- /landslide-events/oso-2014-03-22/
- /landslide-events/la-conchita-2005-01-10/
- /landslide-events/big-sur-2017-05-20/
- /landslide-events/highway-1-2017-05-20/
- /landslide-events/mud-creek-2017-05-20/
Comparison
USGS inventory download vs SleekRank pages
USGS shapefile download
- Landslide events publish as shapefile rows without indexable per-event URLs
- Geospatial format limits citation to desktop GIS tooling rather than web links
- Volume and area fields buried in attribute tables without narrative context
- No structured Event schema rendered on USGS landslide inventory pages
- Trigger and landslide type fields require GIS expertise to access and filter
- State survey updates ship through new dataset releases, not per-page revisions
SleekRank
-
Every event gets an indexable URL under
/landslide-events/{slug}/ - Event and Place JSON-LD generated from date, state, trigger, and landslide type
- Volume, area, trigger, and landslide type render via tag and selector mappings
- State geological survey attribution rendered from the row via tag mapping
- Sitemap covers every event ID in the USGS inventory export automatically
- Related-events grid links by state, trigger cluster, and landslide-type band
Features
What SleekRank gives you for Landslide events one-per-event
Event schema per slide
Map date, state, trigger, and landslide type to Event and Place JSON-LD via meta mappings. Each landslide gets a structured data block so search engines can resolve the entity from the USGS event ID without scraping prose.
Volume and area metrics
Render volume estimate, area affected, fatalities, and infrastructure damage from the row via tag and selector mappings. The base page exposes the same template per event across landslide types and triggers.
Trigger and survey source
Pull trigger class, contributing state survey, and landslide type directly from the inventory file. The base template renders a context summary block that adapts per event without per-page twig edits.
Use cases
Who runs landslide event indexes on SleekRank
Geohazard research labs
Academic geohazard groups publish event corpora for citation. Each USGS row resolves to a stable URL so working papers can cite individual landslides without breaking links across inventory revisions.
Infrastructure planning agencies
DOT and infrastructure planners publish public landslide archives along key corridors. Each event resolves to a stable URL with trigger, volume, and area for citation in alignment studies.
Hazard-beat news desks
Regional news desks cover major landslide events in detail. SleekRank turns the USGS inventory into per-event pages on the publication's domain so coverage links to indexed event context.
The bigger picture
Why landslide data belongs on a public corpus
Landslide event data is public and curated by the USGS Landslide Hazards Program, but the public-facing surface is a geospatial download and a static report. Geohazard researchers, infrastructure planners, and hazard-beat newsrooms all pull the same file and rebuild fragments because there is no indexable URL set that surfaces individual events for citation, ranking, or deep linking. SleekRank closes that gap by turning the inventory into one indexable URL per event on the publishing organization's own domain.
Each page ranks for its own date, state, and trigger pairing. Event and Place schema make every landslide eligible for entity-level surfaces. Internal links across triggers, landslide types, and state surveys form a navigation network that strengthens the publisher's authority on geohazard reporting.
The inventory file stays in the same workflow editors already use, and the public corpus refreshes through cache cycles rather than a manual pipeline.
Questions
Common questions about SleekRank for Landslide events one-per-event
SleekRank reads the USGS landslide inventory export directly. The agency publishes it on a rolling basis. Point the data source at your local mirror, set a cache window, and every page reflects the source on the next refresh without rebuilds.
Most safety publishers set a 24-hour cache. The base page rerenders with new totals on the next cache window. A WP-CLI manual flush handles urgent corrections when a record updates between scheduled refresh cycles on the public corpus.
Yes. Run a related-events block that uses sleekRankRelatedEntries() filtered by region, year, or trigger. Each landslide event surfaces up to six adjacent records, and the grid stays deterministic per slug so links remain stable.
Event and Place are valid Schema.org types and Google parses both. Whether enhanced result tiles render varies by query intent and competition, but the structured data improves entity resolution and underpins knowledge-panel eligibility.
Store an array of county codes in the row. A list mapping on the base template renders each county chip with its own internal link, and the canonical URL stays anchored to the primary county so the slug strategy does not fragment by jurisdiction.
Yes. Adjust the row in the source export and SleekRank reflects the new totals on the next cache refresh. A revision history column lets the base page expose the change log via a list mapping for transparency on amended records.
Yes. Store an array of trigger identifiers in the row. A list mapping renders each one with its own panel, and the schema mapping carries the primary trigger into structured data so entity resolution stays clean across multi-actor records.
Keep the original record name at the time of occurrence in the row. Add a current-name column for succession. The base page renders both, and a related-events grid filtered by current name gives readers continuity across renaming.
Pricing
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