SleekRank for sun position pages by city
Use the USNO solar position algorithm against a city catalog and emit one WordPress URL per city at /sun-position/{slug}/. Solar noon, sunrise, sunset, azimuth, and elevation flow from a generated dataset into the base page on the next cache refresh.
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Sun position questions are city-specific and date-specific
Photographers searching for golden hour, solar installers checking south-facing roof angles, gardeners planning sun exposure, and astrophotographers waiting for true noon all ask the same question in different terms: where is the sun, from my city, on this date. The USNO publishes the algorithm and the data, but no one publishes the matrix as ranked URLs. A typical 'sunrise sunset' search lands on a single global page that re-renders from a query string and ranks for nothing.
SleekRank reads a generated dataset of sun positions for thousands of cities and emits one WordPress URL per city at /sun-position/{slug}/. Tag mappings push the city into the H1 and title. Selector mappings drop today's sunrise, solar noon, sunset, civil dusk, and golden hour times into a stat block. A list mapping renders the upcoming week's daily azimuth-and-elevation table so visitors plan a shot or a session without flipping between calculators.
The slug is the city. The dataset refreshes on a daily schedule because the values change by the second but the user-facing precision is per-minute. Each city carries latitude, longitude, and elevation so the algorithm produces accurate values across the date range. The base page hosts a normal WordPress layout with photo embeds, observation tips, and cross-links to the sunrise calendar, the meteor shower archive, and the constellation guide.
Workflow
From city catalog to indexed sun position page
Build the city catalog
Generate the solar dataset
Wire the mappings
Schedule the refresh
Data in, pages out
From algorithm output to live city URL
| slug | city | sunrise_local | solar_noon | sunset_local |
|---|---|---|---|---|
| los-angeles | Los Angeles | 6:12 AM | 12:31 PM | 6:49 PM |
| denver | Denver | 6:24 AM | 12:42 PM | 6:59 PM |
| edinburgh | Edinburgh | 6:35 AM | 12:22 PM | 6:08 PM |
| cape-town | Cape Town | 6:53 AM | 12:48 PM | 6:42 PM |
| oslo | Oslo | 6:18 AM | 12:24 PM | 6:29 PM |
/sun-position/{slug}/
- /sun-position/los-angeles/
- /sun-position/denver/
- /sun-position/edinburgh/
- /sun-position/cape-town/
- /sun-position/oslo/
Comparison
Generic sunrise calculators vs SleekRank
Global sunrise/sunset calculators
- Single-page calculators rely on query strings and rank for one generic phrase
- Per-city URLs do not exist on most reference sites
- Azimuth and elevation are hidden behind a developer-mode toggle
- Golden hour and blue hour rarely surface as first-class fields
- Internal links to related city pages are missing across the board
- Sitemap entries scale with manual posts, not with cities
SleekRank
- One generated dataset feeds thousands of city URLs
-
Selector mappings hit
#sunrise,#solar-noon, and#golden-hour - List mappings render a 7-day azimuth and elevation table
- Category field groups cities by latitude band for archives
- Photographer-friendly fields like blue hour and twilight included
- Sitemap auto-generated per city with no manual entries
Features
What SleekRank gives you for sun position azimuth by city
Lat/long-driven precision
Each city row carries latitude, longitude, elevation, and timezone. The USNO algorithm produces accurate solar events for any date when those four fields are right, so the data layer is just a sheet of cities the script runs through nightly.
Photography-friendly fields
The dataset includes civil dawn, blue hour, golden hour, solar noon, golden hour evening, blue hour evening, and civil dusk. Selector mappings let the page surface whichever fields matter for the audience, with the others tucked into the expandable table.
Seven-day outlook
A list mapping over the weekly outlook renders azimuth and elevation values for the next seven days. Photographers planning a session, solar installers pitching a roof, and gardeners staking beds all use the same surface for their own reasons.
Use cases
Where sun position pages catch real demand
Photography blogs and tutorials
Posts about golden-hour shots, urban silhouettes, or sun-flare techniques can deep-link to per-city pages so readers see today's window without leaving the article.
Gardening and homesteading sites
Bed-orientation content benefits from a per-city URL that explains the actual solar arc through the year, with seasonal tables that update without editorial work.
Solar installer marketing
Installer companies serving multiple cities can build out per-city URLs with sun arc data, then lay their service area and contact info over the same base page.
The bigger picture
Why sun position deserves its own URL space
Generic sunrise calculators answer one question for one user at a time and rank for one generic phrase. The actual demand is city-specific and date-specific, which is exactly the shape SleekRank turns into pages. Photographers, gardeners, solar installers, and astronomy hobbyists all ask sun position questions, and they all benefit from a stable URL that already knows their city and shows the day's solar arc above the fold.
The data is algorithmic, so adding cities is cheap and the freshness is automatic. The editorial layer stays light because the math carries the page; what the editor adds is context: a paragraph on the city's photo spots, a tip about east-facing kitchen windows, a cross-link to the meteor shower archive for stargazers tracking the dark window between sunset and astronomical dusk. The result is a section that reads like a calculator, ranks like a directory, and feels like a publication.
Adding a city is one row in a sheet. Adding a season is one cache refresh. Adding a use case is one selector mapping.
The page space grows with the audience and never with the engineering team.
Questions
Common questions about SleekRank for sun position azimuth by city
The USNO algorithm is accurate to within a fraction of a minute for sunrise and sunset, and well under a degree for azimuth at any given moment. Sources of error are dominated by atmospheric refraction near the horizon and by elevation differences between the city's nominal point and the visitor's actual location. For most consumer use cases, the values are indistinguishable from the precision photographers and gardeners need.
 Yes. Each city carries a timezone field, and the algorithm respects that timezone's DST rules. The day after a DST transition, the displayed sunrise and sunset shift by an hour without any manual edit. The base page renders identically; the data layer carries the change.
 Yes. The dataset carries a full suite of solar events (civil, nautical, astronomical twilight, golden hour, blue hour, solar noon). Selector mappings let you choose which ones the hero block surfaces and which live in the expandable table. A photography-focused page might lead with golden hour; a navigation-focused page might lead with nautical dawn.
 The dataset is purely algorithmic, so adding a city is adding a row with lat, long, elevation, and timezone. The nightly script regenerates the values for every city. The practical ceiling is the script run time and the sitemap budget. Tens of thousands of city URLs are well within the model.
 Yes. A query parameter or a stacked URL pattern like /sun-position/{slug}/{date}/ lets the page render any date in the supported window. Pick the model that matches the search demand: photographers tend to plan a few days ahead, so the seven-day table on the main URL covers most intent.
 Yes. Each page emits a JSON-LD Event block for today's sunrise and sunset with startDate, endDate, location coordinates, and descriptive names. The structured data feeds rich-result previews and link cards across social platforms.
 Carry per-city specifics that go beyond the algorithm: historical photography spots, dawn temperatures, sunrise direction relative to a famous landmark. A descriptions column injects city-flavored copy via a selector mapping below the stat block. The richer the row, the lower the duplicate-content risk.
 Yes. Expose the dataset as a JSON endpoint at /sun-position.json or per-city /sun-position/{slug}.json, and let third-party apps consume the same source SleekRank reads. The website and the API stay in lockstep without a separate data pipeline.
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