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Geographic coordinate system
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A geographic coordinate system (GCS) is a spherical or geodetic coordinate system for measuring and communicating positions directly on Earth as latitude and longitude.[1] It is the simplest, oldest, and most widely used type of the various spatial reference systems that are in use, and forms the basis for most others. Although latitude and longitude form a coordinate tuple like a cartesian coordinate system, geographic coordinate systems are not cartesian because the measurements are angles and are not on a planar surface.[2]
A full GCS specification, such as those listed in the EPSG and ISO 19111 standards, also includes a choice of geodetic datum (including an Earth ellipsoid), as different datums will yield different latitude and longitude values for the same location.[3]
History
[edit]The invention of a geographic coordinate system is generally credited to Eratosthenes of Cyrene, who composed his now-lost Geography at the Library of Alexandria in the 3rd century BC.[4] A century later, Hipparchus of Nicaea improved on this system by determining latitude from stellar measurements rather than solar altitude and determining longitude by timings of lunar eclipses, rather than dead reckoning. In the 1st or 2nd century, Marinus of Tyre compiled an extensive gazetteer and mathematically plotted world map using coordinates measured east from a prime meridian at the westernmost known land, designated the Fortunate Isles, off the coast of western Africa around the Canary or Cape Verde Islands, and measured north or south of the island of Rhodes off Asia Minor. Ptolemy credited him with the full adoption of longitude and latitude, rather than measuring latitude in terms of the length of the midsummer day.[5]
Ptolemy's 2nd-century Geography used the same prime meridian but measured latitude from the Equator instead. After their work was translated into Arabic in the 9th century, Al-Khwārizmī's Book of the Description of the Earth corrected Marinus' and Ptolemy's errors regarding the length of the Mediterranean Sea,[note 1] causing medieval Arabic cartography to use a prime meridian around 10° east of Ptolemy's line. Mathematical cartography resumed in Europe following Maximus Planudes' recovery of Ptolemy's text a little before 1300; the text was translated into Latin at Florence by Jacopo d'Angelo around 1407.
In 1884, the United States hosted the International Meridian Conference, attended by representatives from twenty-five nations. Twenty-two of them agreed to adopt the longitude of the Royal Observatory in Greenwich, England as the zero-reference line. The Dominican Republic voted against the motion, while France and Brazil abstained.[6] France adopted Greenwich Mean Time in place of local determinations by the Paris Observatory in 1911.
Latitude and longitude
[edit]
The latitude φ of a point on Earth's surface is defined in one of three ways, depending on the type of coordinate system. In each case, the latitude is the angle formed by the plane of the equator and a line formed by the point on the surface and a second point on equatorial plane. What varies between the types of coordinate systems is how the point on the equatorial plane is determined:
- In an astronomical coordinate system, the second point is found where the extension of the plumb bob vertical from the surface point intersects the equatorial plane.
- In a geodetic coordinate system, the second point is found where the normal vector from the surface of the ellipsoid at the surface point intersects the equatorial plane.
- In a geocentric coordinate system, the second point is the center of Earth.
The path that joins all points of the same latitude traces a circle on the surface of Earth, as viewed from above the north or south pole, called parallels, as they are parallel to the equator and to each other. The north pole is 90° N; the south pole is 90° S. The 0° parallel of latitude is defined to be the equator, the fundamental plane of a geographic coordinate system. The equator divides the globe into Northern and Southern Hemispheres.
The longitude λ of a point on Earth's surface is the angle east or west of a reference meridian to another meridian that passes through that point. All meridians are halves of great ellipses, which converge at the North and South Poles. The meridian of the British Royal Observatory in Greenwich, in southeast London, England, is the international prime meridian, although some organizations—such as the French Institut national de l'information géographique et forestière—continue to use other meridians for internal purposes. The antipodal meridian of Greenwich is both 180°W and 180°E. This is not to be conflated with the International Date Line, which partly overlaps with the 180° meridian but diverges from it in several places for political and convenience reasons, including between far eastern Russia and the far western Aleutian Islands.
The combination of these two components specifies the position of any location on the surface of Earth, without consideration of altitude or depth. The visual grid on a map formed by lines of latitude and longitude is known as a graticule.[7] The origin/zero point of this system is located in the Gulf of Guinea about 625 km (390 mi) south of Tema, Ghana, a location often facetiously called Null Island.
Geodetic datum
[edit]In order to use the theoretical definitions of latitude, longitude, and height to precisely measure actual locations on the physical earth, a geodetic datum must be used. A horizonal datum is used to precisely measure latitude and longitude, while a vertical datum is used to measure elevation or altitude. Both types of datum bind a mathematical model of the shape of the earth (usually a reference ellipsoid for a horizontal datum, and a more precise geoid for a vertical datum) to the earth. Traditionally, this binding was created by a network of control points, surveyed locations at which monuments are installed, and were only accurate for a region of the surface of the Earth. Newer datums are based on a global network for satellite measurements (GNSS, VLBI, SLR and DORIS).
This combination of a mathematical model and physical binding ensures that users of the same datum obtain identical coordinates for a given physical point. However, different datums typically produce different coordinates for the same location (sometimes deviating several hundred meters) not due to actual movement, but because the reference system itself is shifted. Because any spatial reference system or map projection is ultimately calculated from latitude and longitude, it is crucial that they clearly state the datum on which they are based. For example, a UTM coordinate based on a WGS84 realisation will be different than a UTM coordinate based on NAD27 for the same location. Transforming coordinates from one datum to another requires a datum transformation method such as a Helmert transformation, although in certain situations a simple translation may be sufficient.[8]
Datums may be global, meaning that they represent the whole Earth, or they may be regional,[9] meaning that they represent an ellipsoid best-fit to only a portion of the Earth. Examples of global datums include the several realizations of WGS 84 (with the 2D datum ensemble EPSG:4326 with 2 meter accuracy as identifier)[10][11] used for the Global Positioning System,[note 2] and the several realizations of the International Terrestrial Reference System and Frame (such as ITRF2020 with subcentimeter accuracy), which takes into account continental drift and crustal deformation.[12]
Datums with a regional fit of the ellipsoid that are chosen by a national cartographical organization include the North American Datums, the European ED50, and the British OSGB36. Given a location, the datum provides the latitude and longitude . In the United Kingdom there are three common latitude, longitude, and height systems in use. WGS 84 differs at Greenwich from the one used on published maps OSGB36 by approximately 112 m. ED50 differs from about 120 m to 180 m.[13]
Points on the Earth's surface move relative to each other due to continental plate motion, subsidence, and diurnal Earth tidal movement caused by the Moon and the Sun. This daily movement can be as much as a meter. Continental movement can be up to 10 cm a year, or 10 m in a century. A weather system high-pressure area can cause a sinking of 5 mm. Scandinavia is rising by 1 cm a year as a result of the melting of the ice sheets of the last ice age, but neighboring Scotland is rising by only 0.2 cm. These changes are insignificant if a regional datum is used, but are statistically significant if a global datum is used.[13]
Length of a degree
[edit]On the GRS 80 or WGS 84 spheroid at sea level at the Equator, one latitudinal second measures 30.715 m, one latitudinal minute is 1843 m and one latitudinal degree is 110.6 km. The circles of longitude, meridians, meet at the geographical poles, with the west–east width of a second naturally decreasing as latitude increases. On the Equator at sea level, one longitudinal second measures 30.92 m, a longitudinal minute is 1855 m and a longitudinal degree is 111.3 km. At 30° a longitudinal second is 26.76 m, at Greenwich (51°28′38″N) 19.22 m, and at 60° it is 15.42 m.
On the WGS 84 spheroid, the length in meters of a degree of latitude at latitude ϕ (that is, the number of meters you would have to travel along a north–south line to move 1 degree in latitude, when at latitude ϕ), is about
The returned measure of meters per degree latitude varies continuously with latitude.
Similarly, the length in meters of a degree of longitude can be calculated as
(Those coefficients can be improved, but as they stand the distance they give is correct within a centimeter.)
The formulae both return units of meters per degree.
An alternative method to estimate the length of a longitudinal degree at latitude is to assume a spherical Earth (to get the width per minute and second, divide by 60 and 3600, respectively):
where Earth's average meridional radius is 6,367,449 m. Since the Earth is an oblate spheroid, not spherical, that result can be off by several tenths of a percent; a better approximation of a longitudinal degree at latitude is
where Earth's equatorial radius equals 6,378,137 m and ; for the GRS 80 and WGS 84 spheroids, . ( is known as the reduced (or parametric) latitude). Aside from rounding, this is the exact distance along a parallel of latitude; getting the distance along the shortest route will be more work, but those two distances are always within 0.6 m of each other if the two points are one degree of longitude apart.
| Latitude | City | Degree | Minute | Second | 0.0001° |
|---|---|---|---|---|---|
| 60° | Saint Petersburg | 55.80 km | 0.930 km | 15.50 m | 5.58 m |
| 51° 28′ 38″ N | Greenwich | 69.47 km | 1.158 km | 19.30 m | 6.95 m |
| 45° | Bordeaux | 78.85 km | 1.31 km | 21.90 m | 7.89 m |
| 30° | New Orleans | 96.49 km | 1.61 km | 26.80 m | 9.65 m |
| 0° | Quito | 111.3 km | 1.855 km | 30.92 m | 11.13 m |
Alternative encodings
[edit]Like any series of multiple-digit numbers, latitude-longitude pairs can be challenging to communicate and remember. Therefore, alternative schemes have been developed for encoding GCS coordinates into alphanumeric strings or words:
- the Maidenhead Locator System, popular with radio operators.
- the World Geographic Reference System (GEOREF), developed for global military operations, replaced by the current Global Area Reference System (GARS).
- Open Location Code or "Plus Codes", developed by Google and released into the public domain.
- Geohash, a public domain system based on the Morton Z-order curve.
- Mapcode, an open-source system originally developed at TomTom.
- What3words, a proprietary system that encodes GCS coordinates as pseudorandom sets of words by dividing the coordinates into three numbers and looking up words in an indexed dictionary.
These are not distinct coordinate systems, only alternative methods for expressing latitude and longitude measurements.
See also
[edit]- Decimal degrees – Angular measurements, typically for latitude and longitude
- Geographical distance – Distance measured along the surface of the Earth
- Geographic information system – System to capture, manage, and present geographic data
- Geo URI scheme – System of geographic location identifiers
- ISO 6709, standard representation of geographic point location by coordinates
- Linear referencing – Method of spatial referencing
- Primary direction – Celestial coordinate system used to specify the positions of celestial objects
- Planetary coordinate system
- Selenographic coordinate system
- Spatial reference system – System to specify locations on Earth
Notes
[edit]- ^ The pair had accurate absolute distances within the Mediterranean but underestimated the circumference of the Earth, causing their degree measurements to overstate its length west from Rhodes or Alexandria, respectively.
- ^ WGS 84 is the default datum used in most GPS equipment, but other datums and map projections can be selected.
References
[edit]- ^ Chang, Kang-tsung (2016). Introduction to Geographic Information Systems (9th ed.). McGraw-Hill. p. 24. ISBN 978-1-259-92964-9.
- ^ DiBiase, David. "The Nature of Geographic Information". Archived from the original on 19 February 2024. Retrieved 18 February 2024.
- ^ "Using the EPSG geodetic parameter dataset, Guidance Note 7-1". EPSG Geodetic Parameter Dataset. Geomatic Solutions. Archived from the original on 15 December 2021. Retrieved 15 December 2021.
- ^ McPhail, Cameron (2011), Reconstructing Eratosthenes' Map of the World (PDF), Dunedin: University of Otago, pp. 20–24, archived (PDF) from the original on 2 April 2015, retrieved 14 March 2015.
- ^ Evans, James (1998), The History and Practice of Ancient Astronomy, Oxford, England: Oxford University Press, pp. 102–103, ISBN 9780199874453, archived from the original on 17 March 2023, retrieved 5 May 2020.
- ^ "The International Meridian Conference". Millennium Dome: The O2 in Greenwich. Greenwich 2000 Limited. 9 June 2011. Archived from the original on 6 August 2012. Retrieved 31 October 2012.
- ^ American Society of Civil Engineers (1 January 1994). Glossary of the Mapping Sciences. ASCE Publications. p. 224. ISBN 9780784475706.
- ^ "Making maps compatible with GPS". Government of Ireland 1999. Archived from the original on 21 July 2011. Retrieved 15 April 2008.
- ^ "A guide to the coordinate systems in Great Britain". Ordnance Survey. Archived from the original on 20 December 2024. Retrieved 19 December 2024.
- ^ "WGS 84: EPSG Projection -- Spatial Reference". spatialreference.org. Archived from the original on 13 May 2020. Retrieved 5 May 2020.
- ^ EPSG:4326
- ^ Bolstad, Paul (2012). GIS Fundamentals (PDF) (5th ed.). Atlas books. p. 102. ISBN 978-0-9717647-3-6. Archived from the original (PDF) on 15 October 2020. Retrieved 27 January 2018.
- ^ a b A guide to coordinate systems in Great Britain (PDF), D00659 v3.6, Ordnance Survey, 2020, archived (PDF) from the original on 2 April 2020, retrieved 17 December 2021
- ^ a b [1] Archived 29 June 2016 at the Wayback Machine Geographic Information Systems – Stackexchange
Sources
[edit]- Portions of this article are from Jason Harris' "Astroinfo" which is distributed with KStars, a desktop planetarium for Linux/KDE. See The KDE Education Project – KStars Archived 17 May 2008 at the Wayback Machine
Further reading
[edit]- Jan Smits (2015). Mathematical data for bibliographic descriptions of cartographic materials and spatial data. Geographical co-ordinates. ICA Commission on Map Projections.
External links
[edit]
Media related to Geographic coordinate system at Wikimedia Commons
Geographic coordinate system
View on GrokipediaFundamentals
Definition and Components
A geographic coordinate system (GCS) is a framework for specifying locations on Earth's surface using angular measurements of latitude and longitude, based on the planet's rotational axis and equatorial plane.[7] This system treats Earth as an approximately spherical or ellipsoidal body, allowing positions to be identified relative to a reference ellipsoid or sphere.[8] The primary components of a GCS are latitude, which measures angular distance north or south of the equator (ranging from 0° at the equator to 90° at the poles), and longitude, which measures angular distance east or west of the Prime Meridian (ranging from 0° to 180°).[9][10] Height or elevation above the reference surface may be included as an optional third dimension to specify positions in three-dimensional space.[11] The purpose of a GCS is to enable precise global location specification, supporting applications in navigation, mapping, and geospatial analysis by providing a standardized grid for referencing any point on Earth's surface.[7] This system forms a basic grid structure composed of parallels of latitude (horizontal circles parallel to the equator) and meridians of longitude (semicircles connecting the poles), creating a spherical graticule that intersects at right angles.[9][10] Geographic coordinates can be transformed into three-dimensional Cartesian coordinates (X, Y, Z) using spherical trigonometry, facilitating computations in rectangular systems relative to Earth's center.[12]Spherical vs. Ellipsoidal Models
The geographic coordinate system can employ a simplified spherical model of Earth, approximating it as a perfect sphere with a mean radius of approximately 6371 km.[13] This model facilitates straightforward mathematical computations, such as great-circle distances, but overlooks Earth's oblateness, leading to inaccuracies in regions away from the equator.[14] In contrast, the ellipsoidal model represents Earth more accurately as an oblate spheroid, characterized by an equatorial radius and a polar radius that is slightly shorter due to rotational flattening. The flattening factor , defined as , quantifies this deviation from sphericity.[3] This oblate shape arises from centrifugal forces during Earth's rotation, making the model essential for applications requiring sub-kilometer precision.[15] Reference ellipsoids provide standardized ellipsoidal approximations tailored to minimize distortions in specific regions or globally, enabling precise positioning in navigation and mapping. A prominent example is the World Geodetic System 1984 (WGS 84) ellipsoid, with m and .[3] These ellipsoids serve as mathematical foundations for coordinate transformations, reducing errors in geospatial data integration compared to spherical assumptions.[14] The adoption of ellipsoidal models marked a historical shift from spherical approximations, driven by 18th-century expeditions that confirmed Earth's oblateness through arc measurements, enhancing accuracy in land surveying.[15] This transition accelerated in the 20th century with satellite geodesy, which provided global data to refine ellipsoid parameters for applications like orbital mechanics and global positioning.[16] While angular measurements like latitude and longitude remain conceptually similar between the two models—measured from the equator and prime meridian—conversions to linear distances differ significantly. On a sphere, distances are uniform per degree, but ellipsoidal geometry causes meridional distances to vary by latitude, with errors up to 0.3% (or about 3 m per km) when using spherical approximations for ellipsoidal coordinates.[14]Latitude and Longitude
Latitude
Latitude is defined as the angular distance north or south of the Earth's equatorial plane, measured along a meridian from the equator to a point on the Earth's surface.[17] This angle, denoted by the symbol φ (phi), quantifies the north-south position relative to the equator and is expressed in degrees, ranging from 0° at the equator to 90° at the North Pole (positive values) and -90° at the South Pole (negative values).[9] In the standard convention, latitudes north of the equator are positive, while those south are negative, facilitating computational and mapping applications.[18] Key reference lines of latitude include the equator at 0°, which divides the Earth into the Northern and Southern Hemispheres; the Tropic of Cancer at approximately 23.436° N, marking the northernmost point where the Sun can be directly overhead at the June solstice; the Tropic of Capricorn at 23.436° S, the corresponding southern limit for the December solstice; the Arctic Circle at 66.564° N, beyond which the midnight sun or polar night phenomena occur; and the Antarctic Circle at 66.564° S.[9] These special latitudes are determined by the Earth's axial tilt relative to its orbital plane, known as the obliquity of the ecliptic.[19] Historically, latitude was measured through celestial observations, such as determining the altitude of the Sun at noon or the position of stars like Polaris using instruments like the sextant, which allowed computation of the angle from the horizon.[20] In modern practice, latitude is precisely determined using Global Navigation Satellite Systems (GNSS), such as GPS, which triangulate positions based on signals from orbiting satellites to achieve accuracies on the order of meters.[21] Mathematically, in Earth-Centered Earth-Fixed (ECEF) coordinates, the geocentric latitude ψ is given by where z is the coordinate along the polar axis and r is the radial distance from the Earth's center to the point. The geodetic latitude φ, used in geographic coordinate systems, is the angle between the equatorial plane and the normal to the reference ellipsoid, related approximately by \tan \phi = (1 - e^2)^{-1} \tan \psi (with eccentricity e ≈ 0.0818 for WGS 84), resulting in a maximum difference of about 0.19° near 45° latitude.[22][23] This accounts for the ellipsoid's flattening in geodetic computations.Longitude
Longitude is defined as the angular distance east or west between the prime meridian and the meridian passing through a specific point on the Earth's surface, measured along the equator or any parallel of latitude.[10] This angle ranges from 0° at the prime meridian to 180° in either the eastern or western direction, establishing the east-west position in the geographic coordinate system.[24] The prime meridian serves as the arbitrary reference line for longitude measurements, with the modern convention established at the meridian passing through the Royal Observatory in Greenwich, England.[10] This standardization resulted from the International Meridian Conference held in Washington, D.C., in 1884, where representatives from 25 nations adopted the Greenwich meridian as the global zero reference for longitude and timekeeping to facilitate international navigation and commerce.[10] Prior to this, various national meridians were used, such as the one through the island of Ferro (Hierro) in the Canary Islands, which originated from Ptolemy's ancient system and was common in early European cartography, or the Paris meridian, employed extensively in French maps since the 17th century.[25] Longitude values are conventionally expressed in two formats: from 0° to 360° eastward, or from 180° west to 180° east (with negative values for west), allowing flexibility in applications like mapping and global positioning systems.[24] Unlike latitude, which can be determined using celestial observations such as the sun's altitude, measuring longitude historically posed significant challenges, particularly at sea, where it required precise timekeeping to compare local solar time with the time at the prime meridian.[26] The development of accurate marine chronometers in the 18th century, notably by John Harrison, resolved this by enabling navigators to calculate longitude through time differences, as each hour corresponds to 15° of longitude.[26] In mathematical terms, within the Earth-Centered, Earth-Fixed (ECEF) coordinate system, longitude is computed from the equatorial plane coordinates as , where and represent the Cartesian positions in the equatorial plane, ensuring correct quadrant determination.[27]Coordinate Notation
Geographic coordinates are typically expressed in two primary formats: decimal degrees (DD) and degrees-minutes-seconds (DMS). These notations ensure clarity in specifying positions on Earth's surface using latitude and longitude values.[28] In decimal degrees, latitude and longitude are represented as numerical values with decimal fractions, prefixed by the degree symbol (°) and suffixed by directional qualifiers such as N/S for latitude and E/W for longitude. For example, the coordinates for New York City are often given as 40.7128° N, 74.0060° W.[29] This format facilitates computational processing in geographic information systems (GIS) and digital mapping applications. Precision in decimal degrees is determined by the number of decimal places; for instance, six decimal places provide an accuracy of approximately 11 centimeters at the equator, sufficient for most high-resolution applications like surveying or navigation.[30] Similarly, a resolution of 0.0001° corresponds to about 11 meters of linear distance at the equator, varying slightly with latitude due to Earth's curvature.[31] The degrees-minutes-seconds (DMS) format divides each degree into 60 minutes (') and each minute into 60 seconds ("), offering a sexagesimal representation analogous to time measurement. An example for New York City is 40° 42' 46" N, 74° 0' 22" W.[29] Conversion between DMS and decimal degrees follows the relations 1° = 60' and 1' = 60", where the decimal equivalent is calculated as degrees + (minutes/60) + (seconds/3600). For instance, 40° 42' 46" converts to 40 + 42/60 + 46/3600 ≈ 40.7128°. This format is commonly used in traditional cartography and aviation for its intuitive alignment with angular subdivisions.[32] Standard symbols include the degree mark (°) for whole degrees, a prime (') for minutes, and a double prime (") for seconds, always accompanied by N/S or E/W to indicate hemisphere and avoid positional ambiguity.[33] Omitting these directional qualifiers can lead to errors, as positive values might default to northern/eastern hemispheres in some systems, potentially misplacing coordinates by up to 180° in longitude or 90° in latitude.[28] For digital exchange and interoperability, the ISO 6709 standard defines a compact representation of geographic point locations using latitude, longitude, and optionally height, typically in decimal degrees with a specific string format like "+40.7128-074.0060+" for New York City (positive for north/east, negative for south/west, and trailing + for height if included).[34] This standard ensures consistent data transfer across international systems without loss of precision.[34]Reference Frameworks
Geodetic Datums
A geodetic datum serves as a reference framework for defining positions on Earth's surface using geographic coordinates, consisting of a reference ellipsoid and a set of parameters that specify the ellipsoid's origin, orientation, and scale relative to the planet.[35] These parameters align the idealized ellipsoidal shape with the irregular geoid, enabling accurate latitude and longitude assignments.[36] The ellipsoid provides the geometric model, while the datum parameters ensure the coordinate system is tied to specific points on or above Earth.[37] Geodetic datums are classified as local or global, depending on their spatial coverage and optimization. Local datums, such as the North American Datum of 1927 (NAD27), are designed for specific regions like North America, using parameters fitted to local gravity and topography for higher precision in that area.[35] In contrast, global datums like the World Geodetic System 1984 (WGS84), employed in GPS applications, provide a uniform reference frame for worldwide positioning by centering the ellipsoid on Earth's center of mass.[3] The key components of a datum typically include the latitude and longitude of an origin point, the azimuth (direction) of the coordinate axes relative to a reference line, and a scale factor, which is often set to 1 for minimal distortion.[36] Differences between datums necessitate transformations to convert coordinates from one to another, often due to tectonic plate movements or improved measurements. The standard method is the 7-parameter Helmert transformation, which accounts for three translations (shifts in X, Y, Z directions), three rotations (tilts around each axis), and one uniform scale factor to align the ellipsoids.[38] For instance, shifting from NAD27 to WGS84 can involve offsets up to several hundred meters in some regions.[35] Modern geodetic datums have evolved through the International Terrestrial Reference Frame (ITRF) series, maintained by the International Earth Rotation and Reference Systems Service (IERS), which integrates data from Global Navigation Satellite Systems (GNSS) like GPS to achieve millimeter-level accuracy in position realization. Successive ITRF versions, such as ITRF2014 and ITRF2020, refine parameters using observations from satellite laser ranging, very long baseline interferometry, and GNSS to track Earth's dynamic changes.[39] This high precision supports applications requiring sub-centimeter positioning, with origin stability better than 0.5 mm/year.[40]Horizontal and Vertical Datums
Horizontal datums provide the foundational reference for defining positions on the Earth's surface using latitude and longitude coordinates. These datums consist of a network of precisely surveyed points that establish a coordinate grid, typically tied to a reference ellipsoid to approximate the Earth's shape. By linking these points through methods like triangulation or Global Positioning System (GPS) measurements, horizontal datums enable consistent mapping and positioning across regions. For instance, the European Terrestrial Reference System 1989 (ETRS89) serves as the horizontal datum for pan-European spatial data, ensuring uniformity in geographic information systems across the continent by aligning coordinates to a stable continental plate model.[41][42] Vertical datums, in contrast, define reference surfaces for measuring elevations or heights above or below a standard level, often related to the Earth's gravity field. Common examples include mean sea level (MSL), which represents the average height of the ocean surface over a specific tidal epoch, such as the National Tidal Datum Epoch of 1983–2001, and is used for topographic and construction surveys. Advanced vertical datums employ geoid models, which approximate the equipotential surface of the Earth's gravity field that coincides with MSL; the Earth Gravitational Model 2008 (EGM2008), for example, provides global geoid heights with high resolution, supporting accurate height determinations worldwide.[35][3] In three-dimensional geographic systems, horizontal and vertical datums are integrated to form complete position references, as seen in the World Geodetic System 1984 (WGS84), which combines latitude, longitude, and ellipsoidal height (h) for navigation and positioning. This integration allows for the derivation of orthometric heights (H), which approximate elevations relative to the geoid, using the relation H ≈ h - N, where N is the geoid undulation—the separation between the reference ellipsoid and the geoid.[3][43] A key challenge in using these datums arises from geoid undulations, which vary globally by up to ±100 meters due to irregularities in the Earth's mass distribution and gravity field. These variations necessitate precise gravity models, such as those in EGM2008, to compute accurate orthometric heights from GPS-derived ellipsoidal heights, as errors in N can propagate into elevation discrepancies of meters.[35] In the United States, the National Geodetic Survey (NGS) released components of the modernized National Spatial Reference System (NSRS) in 2025, introducing new terrestrial reference frames such as NATRF2022 for horizontal positions and a new gravity-based vertical datum to replace NAVD 88, improving alignment with ITRF2020 and accounting for tectonic motions.[44] Such datums are critical in applications like monitoring sea level rise, where vertical references enable the tracking of relative changes at tide gauge stations over decades. Shifts in vertical datums, if not accounted for, can alter interpretations of elevation trends, potentially underestimating coastal inundation risks by misaligning historical and current sea level data.[45][44]Historical Development
Ancient and Early Modern Concepts
The origins of the geographic coordinate system trace back to ancient Greek astronomers who conceptualized the Earth as a sphere and developed methods to locate positions on its surface. Around 240 BCE, Eratosthenes of Cyrene calculated the Earth's circumference with remarkable accuracy by comparing the angle of the sun's rays at Alexandria and Syene (modern Aswan) on the summer solstice, using the known distance between the cities to estimate a value of approximately 252,000 stadia, equivalent to about 39,690 kilometers.[46] In the 2nd century BCE, Hipparchus of Nicaea introduced the fundamental grid of latitude and longitude, defining latitude as parallels of equal solar noon shadow lengths and longitude as meridians separated by time differences, thereby establishing a systematic framework for positioning places on Earth.[47] This conceptual foundation was advanced by Claudius Ptolemy in his 2nd-century CE work Geographia, which compiled approximately 8,000 geographic coordinates for known locations across the known world, drawing on earlier sources like Marinus of Tyre.[48] Ptolemy's system assumed a spherical Earth and set his prime meridian through the Fortunate Islands (likely the Canary Islands), measuring longitudes eastward from there up to 180 degrees.[49] His coordinates, expressed in degrees, facilitated the creation of maps and influenced cartography for centuries, though they incorporated observational errors and incomplete data. During the medieval period, Islamic scholars built upon these Greek ideas with refined observational techniques. Al-Biruni (973–1048 CE), a Persian polymath, improved methods for determining latitude through precise astronomical measurements, such as zenith star observations, and explored longitude via lunar eclipse timings and spherical trigonometry in works like Tahdid nihayat al-amakin.[50] Concurrently, ancient Chinese cartographers developed independent grid systems; Pei Xiu in the 3rd century CE outlined six principles for mapmaking, including the use of rectangular grids divided into li (a unit of distance) to represent terrain proportionally.[51] In the early modern era, these concepts were adapted for practical navigation and surveying. Gerardus Mercator's 1569 world map employed latitude and longitude lines as straight, parallel meridians and equally spaced parallels, enabling rhumb line plotting for sailors by preserving angular directions on a cylindrical projection.[52] Later, the Cassini family in France conducted the first national geodetic survey starting in the late 17th century under Giovanni Domenico Cassini, using triangulation networks anchored to Paris Observatory coordinates to map the kingdom accurately over six decades.[53] Early coordinate systems were limited by their reliance on a perfectly spherical Earth model, which ignored the planet's oblateness and led to distortions in distance calculations, particularly at higher latitudes.[54] Additionally, the choice of prime meridians varied arbitrarily—such as Ptolemy's at the Canaries or later national ones like Ferro—resulting in inconsistent global referencing and navigational discrepancies until international standardization.[55]19th and 20th Century Standardization
The standardization of the geographic coordinate system in the 19th and 20th centuries was driven by international conferences and advancements in geodesy, culminating in globally accepted reference frameworks. A pivotal event was the International Meridian Conference held in Washington, D.C., in October 1884, where 41 delegates from 25 nations convened to establish a universal prime meridian. The conference adopted the Greenwich meridian as the international prime meridian by a vote of 22 to 1, with two abstentions, resolving long-standing discrepancies in longitude measurements for navigation and astronomy. Additionally, it recommended a system of 24 standard time zones based on Greenwich Mean Time, facilitating global synchronization for maritime and railway operations.[56][57] Refinements to the ellipsoidal model of Earth progressed through targeted geodetic computations to better approximate regional and global shapes. In 1866, British geodesist Alexander Ross Clarke published parameters for an oblate spheroid optimized for North American surveys, which the United States Coast and Geodetic Survey adopted in 1880 as the standard reference ellipsoid for national mapping. Building on this, American geodesist John Fillmore Hayford's 1909 analysis of deflection-of-the-vertical data led to the International Ellipsoid of 1924, formally adopted by the International Union of Geodesy and Geophysics (IUGG) at its Madrid assembly, providing a more uniform global reference with a semi-major axis of 6,378,388 meters and flattening of 1/297.[58][59] These efforts transitioned into the satellite era with the World Geodetic System 1972 (WGS 72), developed by the U.S. Department of Defense using Doppler satellite tracking, surface gravity, and astrogeodetic observations collected through 1972, achieving a geocentric frame suitable for military navigation and charting.[60] The advent of the Global Positioning System (GPS) in the late 20th century propelled WGS 84, defined in 1984 by the National Geospatial-Intelligence Agency's predecessor, as the de facto global standard for latitude, longitude, and height coordinates. This Earth-centered, Earth-fixed system, with parameters including a semi-major axis of 6,378,137 meters and flattening of 1/298.257223563, was adopted by the International Civil Aviation Organization in 1989 for international navigation. To maintain precision amid evolving satellite data, WGS 84 has undergone iterative realizations; for instance, the G1762 update aligned it more closely with the International Terrestrial Reference Frame (ITRF) 2008 at epoch 2005.0, reducing discrepancies to centimeters, while post-2022 adjustments following ITRF 2020's release enhanced alignment for high-accuracy applications like autonomous vehicles and precision agriculture.[3][61][62] In 2024, a new realization WGS 84 (G2296) was introduced, aligned to ITRF2020.[3] Post-2000 developments emphasized plate-fixed reference frames to account for tectonic motions, ensuring long-term stability in regional coordinates. The North American Datum of 1983 (NAD 83), originally realized through the least-squares adjustment of over 250,000 control stations, including approximately 600 early GPS observations, with subsequent realizations incorporating extensive GPS networks, is affixed to the North American tectonic plate, moving with it at approximately 2.5 cm per year relative to global frames to preserve relative positioning for surveying and infrastructure.[63][64] As of 2025, the U.S. National Geodetic Survey is implementing the modernized National Spatial Reference System (NSRS), replacing NAD 83 with new plate-fixed terrestrial reference frames such as the North American-Pacific Geopotential Datum of 2022 (NAPGD2022).[44] The International Association of Geodesy (IAG) has supported this evolution through resolutions, such as its endorsement of the United Nations General Assembly's 2015 call for a Global Geodetic Reference Frame, promoting unified datum transformations and ITRF alignments for sustainable development and disaster monitoring.[65]Mathematical Properties
Length of a Degree
The length of a degree of latitude on an ellipsoidal model of Earth varies slightly with position due to the planet's oblateness, or flattening at the poles. This distance is derived from the meridional radius of curvature , which represents the radius of the osculating circle in the north-south direction at latitude . The formula for is where is the semi-major axis of the ellipsoid and is the squared eccentricity, defined as with being the flattening parameter. The linear distance corresponding to one degree of latitude is then meters. For the WGS 84 ellipsoid, m and , yielding . At the equator (), this distance is approximately 110.574 km, increasing to about 111.694 km at the poles (), a variation of roughly 1%.[3][66][67] In contrast, the length of a degree of longitude depends on both latitude and the ellipsoid's geometry, as it follows the parallel circles that shrink toward the poles. This distance is given by , where is the prime vertical radius of curvature, At the equator, the length is approximately 111.319 km, matching closely with the equatorial latitude degree but decreasing to zero at the poles due to the cosine factor. The same eccentricity influences this variation, making the distance at 45° latitude about 78.847 km. These computations highlight how Earth's ellipsoidal shape causes the east-west span of a longitude degree to vary more dramatically than the north-south span of latitude.[3][66][67] The following table summarizes representative lengths for one degree of latitude and longitude on the WGS 84 ellipsoid at selected latitudes (values in kilometers, rounded to three decimal places):| Latitude | Degree of Latitude (km) | Degree of Longitude (km) |
|---|---|---|
| 0° (Equator) | 110.574 | 111.319 |
| 45° | 111.132 | 78.847 |
| 90° (Poles) | 111.694 | 0.000 |
Distance Calculations
Calculating distances between points specified by geographic coordinates is fundamental in navigation, geographic information systems (GIS), and geospatial analysis, as it accounts for the Earth's curvature. The great-circle distance represents the shortest path between two points on a spherical or ellipsoidal surface, corresponding to the arc length along the great circle passing through both points. This distance is essential for applications ranging from aviation routing to spatial querying in databases.[68] For a spherical Earth model, the haversine formula provides an accurate and numerically stable method to compute the great-circle distance, avoiding issues with floating-point precision near antipodal points. The formula derives from spherical trigonometry and is expressed as: where is the Earth's mean radius (approximately 6371 km), are the latitudes, , and is the difference in longitudes, all in radians. This approach yields errors of less than 0.5% compared to ellipsoidal models for most global distances.[68][69] Simpler approximations exist for specific use cases. The spherical law of cosines offers a direct trigonometric solution suitable for moderate distances: This method is computationally efficient but less stable for small angular separations due to subtraction of nearly equal values. For small areas (e.g., less than 100 km), the equirectangular projection approximation treats coordinates as a flat plane, using: with the cosine factor adjusting for latitude-dependent longitude scaling; errors remain under 1% within regional scales.[68][70] To account for the Earth's ellipsoidal shape, Vincenty's formulae provide an iterative solution for geodesics on a reference ellipsoid like WGS84, computing both distances and azimuths accurate to within 0.5 mm distance on the reference ellipsoid (maximum error of about 0.5 mm). However, Vincenty's method may fail to converge for nearly antipodal points; more robust alternatives, such as Karney's geodesic algorithms (2013), offer improved accuracy and reliability for all point pairs. The inverse problem solves for distance and azimuths between two points and , iterating on the longitude difference using reduced latitudes and elliptic integrals; the direct problem conversely finds the endpoint given initial position, azimuth, and distance. These equations, involving tangent and secant reductions, are widely implemented for precise surveying.[71] Practical implementations rely on libraries that ensure consistency with the underlying datum, as mismatched datums (e.g., WGS84 vs. NAD83) can introduce errors up to hundreds of meters. The GeographicLib suite, a C++-based toolkit with bindings for languages like Python and Java, supports both spherical great-circle and ellipsoidal geodesic calculations, including Vincenty's method and optimizations for high-throughput computations. Users must verify datum alignment, often by transforming coordinates via the library's built-in functions, to maintain accuracy in GIS workflows. Post-2010 developments have introduced vectorized and GPU-accelerated variants of these algorithms, such as NVIDIA DriveWorks integrations for inverse haversine in real-time geospatial machine learning, enabling efficient batch processing of large datasets in autonomous systems and environmental modeling.[72]Alternative Representations
Angular Encodings
Angular encodings represent innovative methods for compressing latitude and longitude into compact, shareable formats that prioritize usability over traditional decimal or degrees-minutes-seconds notations. These systems transform angular coordinates into hierarchical or mnemonic strings, facilitating applications where brevity and readability are essential, such as navigation apps, emergency response, and data indexing. By encoding geographic positions into alphanumeric or word-based identifiers, they enable efficient storage and transmission without requiring full numerical precision upfront. One prominent example is the Open Location Code, developed by Google as an open-source system for generating "plus codes" that serve as digital addresses in areas lacking street numbering. It encodes latitude and longitude by dividing the world into a grid, starting with four characters for a 1° × 1° area and refining with additional pairs, using a 20-character alphabet excluding ambiguous letters like "I" and "O" to avoid confusion. For instance, the code CWC8+Q9 identifies a location at the Googleplex in Mountain View, California, covering an area of approximately 14 meters square at eight characters. After eight characters, a "+" separator is added, and further digits provide grid refinement for higher precision, down to about 3.5 meters by 2.8 meters at full length. This hierarchical structure allows codes to be shortened for local use, such as 8FW in a California context, by omitting leading characters when a reference point is known.[74][75] Geohash, invented by Gustavo Niemeyer in 2008, employs a binary subdivision of the Earth's surface into rectangles, interleaving latitude and longitude bits to produce a base-32 encoded string. The process begins with the full range of latitudes (-90° to 90°) and longitudes (-180° to 180°), alternately splitting the intervals based on each bit of the coordinates, resulting in a Z-order curve that linearizes 2D space. An example is "d65267", which encodes a point in Parque Nacional Tayrona, Colombia (approximately 11.3114° N, 74.0779° W), with a precision of about 1.2 kilometers east-west and 0.6 kilometers north-south for six characters; longer strings up to 12 characters achieve up to 52-60 bits of resolution, yielding sub-meter accuracy around 0.6 meters. Precision varies by string length, with even characters refining longitude and odd refining latitude, making it suitable for spatial databases.[76] What3words, a proprietary system launched in 2013, assigns a unique triplet of words to every 3-meter by 3-meter square on Earth's surface, covering approximately 57 trillion such grids globally. It converts latitude and longitude to these addresses using a fixed algorithm that maps coordinates to a predefined word list of about 40,000 common English terms (with multilingual support), ensuring no sequential geographic areas share similar word sequences to minimize errors. For example, "filled.count.soap" designates a specific square at the entrance to what3words' headquarters in London, UK. The system operates offline via apps and APIs, allowing conversion between words and coordinates without internet for basic use.[77] These angular encodings offer key advantages, including enhanced human readability and memorability compared to raw coordinates, which is particularly valuable in low-bandwidth environments or verbal communication during emergencies. Plus codes and Geohash support hierarchical querying, where prefix sharing indicates spatial proximity, aiding efficient searches in databases or apps without special characters that complicate URL sharing. What3words excels in intuitive sharing, as three words are easier to dictate or remember than codes, and has been adopted by over 100 emergency services worldwide for precise location reporting. Overall, they reduce the cognitive load of handling decimal degrees, promoting accessibility in regions without formal addressing.[78][74][77][79] However, limitations persist across these systems, as they are not direct representations of angular values and require decoding to retrieve precise latitude and longitude, potentially introducing conversion errors in high-precision applications. Variable precision based on code length can lead to inconsistencies; for instance, Geohash cells are rectangular and distort near the poles due to its projection-based nature, with adjacent codes not always guaranteeing geographic closeness in lexicographic order. Plus codes depend on reference locations for shortened forms, limiting standalone usability, while What3words faces criticism for its closed-source algorithm, raising concerns about reliability and a reported 1-in-4-million chance of address confusion due to word ambiguities or algorithmic flaws. Additionally, all systems trade exact angular fidelity for compactness, necessitating tools for reversal to standard coordinates.[80][76][74][79] Other angular encoding systems include Google's S2 Geometry, which uses a hierarchical spherical tessellation for global-scale indexing with cells at multiple resolutions, and Uber's H3, a hexagonal grid system for discrete global geospatial indexing, both suited for big data applications in GIS and spatial analytics.[81]Non-Geographic Variants
Non-geographic coordinate systems, often referred to as projected coordinate systems, transform the angular measurements of geographic coordinates (latitude and longitude) into linear units such as meters on a flat plane, facilitating applications like mapping and engineering where planar representations are essential.[82] A prominent example is the Universal Transverse Mercator (UTM) system, which divides the Earth into 60 north-south zones, each spanning 6 degrees of longitude, and employs the [Transverse Mercator projection](/page/Transverse Mercator projection) to convert geographic coordinates into easting and northing values measured in meters.[83] This allows for accurate distance and area calculations on flat maps within each zone, minimizing distortion for mid-latitude regions.[84] Other variants build upon or complement UTM for specialized uses. The Military Grid Reference System (MGRS) extends UTM by assigning alphanumeric identifiers to 100,000-meter grid squares, enabling precise location referencing with a single string that conveys both zone and position details, particularly useful in military and navigation contexts.[6] Similarly, the State Plane Coordinate System (SPCS), developed in the 1930s by the U.S. National Geodetic Survey, provides high-accuracy local projections tailored to individual U.S. states or regions, using either Lambert conformal conic or Transverse Mercator projections to limit scale distortion to 1 part in 10,000 for surveying and engineering tasks.[85] Projected systems are preferred over geographic coordinates in scenarios involving large-scale mapping, construction, or engineering, where the need for consistent linear measurements outweighs the Earth's curvature, as projections reduce distortion in specific areas but introduce it globally.[86] In contrast, geographic coordinates remain ideal for global-scale analyses or applications requiring spherical geometry, such as international navigation or planetary modeling, where angular precision preserves the Earth's true shape without projection-induced errors.[82] Conversions between geographic and projected systems occur through map projection mathematics, such as the Transverse Mercator equations in UTM, which mathematically flatten latitude and longitude into planar coordinates while accounting for the reference ellipsoid.[82] In modern applications like augmented reality (AR) and virtual reality (VR), geographic coordinates often integrate into hybrid systems by feeding latitude, longitude, and altitude data into geospatial APIs, enabling location-based overlays that blend real-world positioning with virtual elements for immersive experiences.[87] These non-geographic variants can also incorporate alternative angular encodings as digital complements for enhanced precision in encoded formats.[82]References
- https://github.com/[google](/page/GitHub)/open-location-code
