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Location
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In geography, location or place is used to denote a region (point, line, or area) on Earth's surface. The term location generally implies a higher degree of certainty than place, the latter often indicating an entity with an ambiguous boundary, relying more on human or social attributes of place identity and sense of place than on geometry. A populated place is called a settlement.
Types
[edit]Locality
[edit]A locality, settlement, or populated place is likely to have a well-defined name but a boundary that is not well defined, but rather varies by context. London, for instance, has a legal boundary, but this is unlikely to completely match with general usage. An area within a town, such as Covent Garden in London, also almost always has some ambiguity as to its extent. In geography, location is considered to be more precise than "place".
Relative location
[edit]A relative location, or situation, is described as a displacement from another site.
Absolute location
[edit]
An absolute location can be designated using a specific pairing of latitude and longitude in a Cartesian coordinate grid (for example, a spherical coordinate system or an ellipsoid-based system such as the World Geodetic System) or similar methods. For example, the position of New York City in the United States can be expressed using the coordinate system as the location 40.7128°N (latitude), 74.0060°W ( Absolute locations are also relative locations, since even absolute locations are expressed relative to something else. For example, longitude is the number of degrees east or west of the Prime Meridian, a line arbitrarily chosen to pass through Greenwich, England. Similarly, latitude is the number of degrees north or south of the equator. Because latitude and longitude are expressed relative to these lines, a position expressed in latitude and longitude is also a relative location.[1]
See also
[edit]- Geocode – Code that represents a geographic entity (location or object)
- Geographical feature – Discrete phenomenon that exists at a location on Earth
- Geographic coordinate system – System to specify locations on Earth
- Geopositioning – Determination of the geographic position of an object
- Global Positioning System (GPS) – American satellite-based radio navigation service
- Locale (geographic)
- Location, Location, Location
- Location Location Location Australia
References
[edit]- ^ Gersmehl, Philip (2008). Teaching Geography (2nd ed.). New York: Guilford Press. pp. 60. ISBN 978-1-59385-715-8.
External links
[edit]
Location
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Core Concepts
Definition
Location refers to the specific position of a point, object, or entity within a space, defined relative to a chosen reference frame or system of coordinates. This positional concept applies across physical environments, abstract frameworks, and digital representations, allowing for the identification and description of entities in relation to their surroundings. In essence, location establishes where something exists or occurs by anchoring it to measurable or relational criteria, forming the basis for spatial analysis in various fields.[3] While location emphasizes quantitative and positional attributes, it is distinct from the concept of place, which incorporates qualitative, human-centered elements such as cultural significance, emotional attachments, and unique characteristics that imbue a site with meaning. Location provides the "where" in objective terms, whereas place adds the "what it is like," highlighting human experiences and interactions that transform a mere position into a lived environment. This differentiation is central to human geography, where location serves as a foundational tool for mapping and analysis without the interpretive layers of place.[4] The notion of location extends across multiple disciplines, adapting to their specific contexts. In geography, it denotes the spatial position of features on Earth's surface, enabling the study of distributions and patterns. In computing, particularly geographic information systems (GIS), location manifests as data coordinates that facilitate spatial querying and visualization of information layers. Philosophically, location involves relational positioning in existential or metaphysical terms, exploring how entities are situated within broader structures of being. In law, it pertains to jurisdictional boundaries, defining the territorial scope where legal authority applies to regulate activities or resolve disputes.[5][6][7][8] Locations can be conceptualized in varying spatial dimensions, from one-dimensional (linear positions along a line, such as points on a road), to two-dimensional (planar arrangements on a surface, like map coordinates), and three-dimensional (volumetric placements in space, accounting for height or depth). Extending this, spatiotemporal location incorporates a temporal dimension, capturing not only where but also when an entity exists or changes, essential for dynamic analyses in fields like physics and urban planning. These dimensions provide a scalable framework for describing positions, with higher dimensions accommodating complexity in real-world applications.[9]Historical Development
The concept of location originated in ancient civilizations through astronomical observations that tracked celestial positions to infer earthly ones. Babylonian astronomers, utilizing a positional sexagesimal system developed in Mesopotamia as early as the 3rd millennium BCE, enabling precise recordings of planetary transits and star positions across the zodiac, which laid foundational methods for determining relative locations on Earth.[10][11] This approach influenced subsequent Greek scholars, who advanced the understanding of absolute positioning. In 240 BCE, Eratosthenes of Cyrene calculated the Earth's circumference to approximately 252,000 stadia (about 39,000–46,000 km, close to the modern value of 40,075 km) by comparing the angle of the sun's rays at noon in Syene and Alexandria, using the known distance between the cities to scale the planet's curvature.[12][13] During the medieval period, Islamic scholars refined these techniques amid a synthesis of Greek, Persian, and Indian knowledge. In the 11th century, Abu Rayhan al-Biruni conducted systematic measurements of latitude and longitude, determining the Earth's radius with an accuracy of within 1% of modern values through observations in regions like Khwarazm and Ghazna, and compiling coordinates for numerous global sites in works such as Tahdid Nihayat al-Amakin.[14][15] Al-Biruni's methods, including trigonometric calculations for positional data, represented a significant advancement in mathematical geography, bridging ancient astronomy with practical cartography.[16] The Age of Exploration in the 15th to 17th centuries spurred innovations in cartography to support maritime navigation, emphasizing accurate representation of locations for trade and discovery. Flemish cartographer Gerardus Mercator introduced his cylindrical projection in 1569, which preserved angles for rhumb lines—essential for compass-based sailing—allowing sailors to plot straight-line courses on flat maps despite the Earth's sphericity, though it distorted polar regions.[17][18] This projection became a cornerstone for nautical charts, facilitating the expansion of European exploration.[19] In the 19th and early 20th centuries, international standardization elevated location systems from regional practices to global frameworks, with geodesy emerging as a rigorous science for measuring Earth's shape and gravity. The 1884 International Meridian Conference in Washington, D.C., attended by delegates from 25 nations, adopted the Greenwich Meridian as the prime meridian (0° longitude), establishing a universal reference for time zones and navigation to resolve inconsistencies in global positioning.[20][21] Concurrently, geodesy advanced through national surveys and arc measurements, such as those by the U.S. Coast and Geodetic Survey, which refined ellipsoidal models of Earth and integrated gravity data for precise coordinate systems.[22][23] Post-World War II developments shifted location determination toward space-based technologies, revolutionizing global accuracy. The Soviet Union's launch of Sputnik 1 on October 4, 1957—the first artificial Earth satellite—demonstrated orbital tracking via radio signals, inspiring U.S. efforts like the Navy Navigation Satellite System and directly influencing the conceptual foundation for satellite ranging in global positioning systems.[24][25] This milestone marked the transition from ground-based to orbital methods, enabling precise, real-time location worldwide.Classification
Absolute Location
Absolute location refers to the precise, fixed position of a place on Earth's surface, defined by specific, unchanging geographic coordinates such as latitude and longitude, independent of any surrounding features or observer perspective.[1] This method provides an objective descriptor that remains constant regardless of contextual changes, allowing for universal identification of locations.[26] Key attributes of absolute location include its verifiability through standardized measurement systems, ensuring that the same coordinates can be confirmed globally by any equipped observer.[27] It is also highly scalable, applicable from small-scale local sites, such as individual properties, to vast global extents like continents, without altering the core precision of the coordinates.[28] A prominent example is the absolute location of New York City, given as 40° 42′ 51″ N, 74° 0′ 21″ W, which pinpoints a central urban reference.[29] In practical applications, absolute location is essential for cadastral surveys, where coordinates delineate property boundaries with high accuracy, supporting legal land tenure and spatial planning.[30] The primary advantages of absolute location lie in its facilitation of precise mapping, enabling detailed scientific analysis and reproducible geospatial studies across disciplines.[26] However, it lacks inherent contextual meaning, requiring supplementary data to convey relational or environmental significance.[1] In contrast to relative location, which describes positions through proximity to landmarks, absolute location prioritizes metric invariance for objective positioning.[28]Relative Location
Relative location refers to the position of a place or entity described in relation to other landmarks, geographical features, or known points, rather than fixed coordinates.[26] This approach emphasizes contextual relationships, such as proximity, direction, or connectivity, making it particularly useful for qualitative spatial understanding.[31] For instance, a location might be expressed as "10 miles north of the river" or "adjacent to the city center," highlighting its relational context without requiring precise measurements.[32] Key types of relative location include directional, proximity-based, and topological descriptions. Directional relative location uses cardinal points or bearings, such as "southeast of a major landmark," to indicate orientation.[33] Proximity-based types focus on distance or nearness to features, like "near the mountain range" or "within 5 kilometers of the coast."[34] Topological relative location describes connectivity or adjacency, such as "bordering the neighboring region" or "linked by a river," emphasizing spatial relationships over exact distances.[33] Examples of relative location abound in everyday communication and historical contexts. A common illustration is stating that "Paris is southeast of London," which conveys positional relation without numerical specifics.[35] In oral directions, people often use relative terms like "turn left at the old oak tree" to guide navigation intuitively.[36] Historically, maps before the widespread adoption of grid systems relied on relative locations, depicting places in terms of their positions near rivers, mountains, or settlements.[37] The primary advantages of relative location lie in its intuitiveness and accessibility for human navigation, as it leverages familiar landmarks without needing specialized knowledge or tools.[36] It provides contextual relatability, aiding quick comprehension in social or exploratory settings.[38] However, limitations include potential ambiguity, especially over large scales where landmarks may shift or interpretations vary, and it lacks the precision required for technical applications.[26] Relative location often complements absolute systems in hybrid approaches to enhance both contextual and exact positioning.[32]Functional Location
In addition to the primary classifications of absolute and relative location, economic and urban geography sometimes consider the functional aspects of locations, particularly in the context of functional regions. A functional region is an area organized around a central node or focal point, defined by interactions, flows, and purposes such as transportation, economic activities, or service provision, rather than strict spatial coordinates.[39] This concept emphasizes the practical role and connectivity of a location within larger systems, like nodes in networks or zones facilitating specific functions.[40] A key framework is central place theory, developed by Walter Christaller in 1933, which models the hierarchical arrangement of settlements based on their functions in providing goods and services to surrounding areas.[41] In this theory, larger central places offer higher-order services to lower-order locations, often visualized with hexagonal market areas for efficient coverage. Network theory complements this by viewing locations as interconnected nodes, such as in hub-and-spoke transportation models where central hubs manage flows to peripheral areas.[42] Examples include airports serving as connectivity nodes in global networks, prioritizing integration of routes and throughput over precise geospatial positioning, or central business districts (CBDs) acting as economic cores that concentrate activities for optimal interaction.[43][44] The significance of functional considerations in locations lies in their application to planning and resource allocation, as central place theory helps determine optimal placement and scale of service centers.[40] These models adapt to modern developments, such as e-commerce logistics hubs that decentralize distribution for efficient last-mile delivery as of 2023.[45]Determination Methods
Coordinate Systems
Coordinate systems provide mathematical frameworks for representing locations on Earth's surface or in three-dimensional space, enabling precise specification through numerical values. These systems transform the irregular shape of Earth—modeled as an oblate spheroid—into coordinates suitable for mapping, analysis, and computation. Primary types include geographic, projected, and Cartesian systems, each addressing different needs for global versus local representation.[46] The geographic coordinate system uses latitude (φ) and longitude (λ) to define positions on an ellipsoidal model of Earth, with latitude measured from the equator (0° to 90° north or south) and longitude from the prime meridian (0° to 180° east or west). These angular coordinates are expressed in degrees, minutes, and seconds or decimal degrees, forming a spherical grid that covers the globe without distortion in angles but inherently tied to Earth's curvature. A key datum, such as the World Geodetic System 1984 (WGS 84), serves as the global reference, defining an Earth-centered, Earth-fixed frame with ellipsoid parameters including a semi-major axis a = 6,378,137 meters and flattening f = 1/298.257223563. In WGS 84, latitude and longitude are computed from Cartesian coordinates using approximations like geocentric latitude φ ≈ arcsin(z/r), where r is the radial distance and z is the vertical component, though precise geodetic latitude requires iteration; longitude λ is derived via λ = atan2(y, x), ensuring quadrant-correct angles from the equatorial plane.[47][48][49] Projected coordinate systems flatten the curved geographic coordinates onto a two-dimensional plane, essential for map-based measurements in meters. The Universal Transverse Mercator (UTM) system exemplifies this, dividing Earth into 60 zones of 6° longitude each and applying a transverse Mercator projection, which rotates the standard Mercator cylinder to align with the zone's central meridian for reduced distortion. In UTM, coordinates are easting (x) and northing (y), with a scale factor of 0.9996 at the central meridian to minimize areal errors within zones up to about 1:1,000 accuracy over 100 km.[50][51] Cartesian coordinate systems employ orthogonal x, y, z axes for three-dimensional positioning, often in an Earth-Centered Earth-Fixed (ECEF) frame where the origin is at Earth's center of mass, x passes through the prime meridian-equator intersection, y through 90°E, and z along the rotation axis. Conversions between geodetic (φ, λ, h where h is ellipsoidal height) and ECEF Cartesian coordinates follow established equations parameterized by the datum's ellipsoid. Specifically,
where e² = 2f - f² is the squared eccentricity (≈0.00669438 for WGS 84), and N is the prime vertical radius of curvature. These transformations enable seamless integration of height data with horizontal positions.[52][47]
Projection distortions arise inevitably when mapping a sphere to a plane, trading off properties like area, shape, distance, or direction. Conformal projections, such as the transverse Mercator in UTM, preserve local angles and shapes—ideal for navigation—but distort areas, often exaggerating sizes near poles. Equal-area projections maintain true surface areas but compromise shapes, leading to stretched or sheared features, particularly at higher latitudes; for instance, Greenland appears disproportionately large on conformal maps like Mercator but proportionally sized on equal-area alternatives. These trade-offs necessitate selecting systems based on application, with distortions quantified via scale factors that vary by location.[49]
Geospatial Technologies
Geospatial technologies encompass a range of hardware and software systems designed to acquire, process, and analyze location data with high precision. At the core of these technologies is the Global Positioning System (GPS), a satellite-based navigation network developed by the U.S. Department of Defense and operated by the U.S. Space Force, which achieved full operational capability in 1995 after the deployment of its initial 24-satellite constellation. GPS determines positions through trilateration, a process where a receiver calculates its location by measuring distances to at least four satellites via time-of-arrival signals, enabling global coverage for civilian and military applications.[53] Complementary Global Navigation Satellite Systems (GNSS) include Russia's GLONASS, which operates with 24 satellites in three orbital planes to provide 5-10 meters horizontal positioning accuracy for civilian use, the European Union's Galileo, with initial services in 2016 and full constellation as of 2024, offering <1 meter accuracy in its Open Service and 20 cm horizontal accuracy in the High Accuracy Service (HAS, operational since 2023) for compatibility with GPS and GLONASS,[54] and China's BeiDou Navigation Satellite System (BDS), which became globally operational in 2020 with a constellation of over 30 satellites, providing positioning accuracy better than 10 meters (typically 5-10 meters) for civilian users.[55] In environments where satellite signals are unreliable, such as indoors or urban canyons, alternative methods supplement GNSS. Wi-Fi positioning systems leverage signals from nearby access points, scanning for unique identifiers like BSSIDs and comparing them against databases of known hotspot locations to estimate device positions with accuracies typically ranging from 10 to 50 meters.[56] Cellular triangulation, another network-based approach, uses signal strength and timing from multiple cell towers to approximate a device's location, often achieving 50 to 300 meters in urban areas by multilaterating radio signals within the provider's infrastructure.[57] For GPS-denied settings like underground tunnels or buildings, inertial navigation systems (INS) employ accelerometers, gyroscopes, and sometimes magnetometers to track movement relative to a known starting point, maintaining functionality without external signals though subject to drift over time.[58] Data acquired from these technologies is processed using Geographic Information Systems (GIS) software, which enables spatial analysis through layering multiple datasets—such as satellite imagery, vector maps, and sensor inputs—to identify patterns and relationships.[59] Accuracy is quantified using metrics like Circular Error Probable (CEP), the radius of a circle centered on the true position within which 50% of measurements fall, often applied to evaluate GNSS performance where civilian GPS achieves a CEP of about 3 to 5 meters under optimal conditions.[60] These systems output locations in standard coordinate frameworks, facilitating integration across applications. Post-2010s advancements, driven by smartphone proliferation, have enhanced real-time capabilities, with devices combining GNSS, Wi-Fi, and cellular data for near-instantaneous positioning updates in apps like navigation tools.[61] Recent innovations integrate artificial intelligence (AI) and machine learning (ML) to elevate geospatial functionalities beyond mere acquisition. For instance, ML algorithms in traffic management apps analyze historical and real-time location data from connected vehicles to predict congestion patterns, optimizing routes with up to 20-30% improvements in travel efficiency.[62] These predictive models process vast datasets from GNSS-enabled sensors, enabling proactive adjustments in urban mobility systems and underscoring the evolution of geospatial technologies toward intelligent, data-driven decision-making.[63]Applications and Significance
In Geography and Mapping
In geography and mapping, location serves as the foundational element for thematic mapping, where spatial data is visualized to represent distributions of phenomena across geographic areas. Thematic maps, such as choropleth maps, aggregate location-based data to depict quantitative attributes like population density, using shaded regions to indicate varying intensities within predefined enumeration units, such as states or counties.[64] For instance, choropleth maps derived from U.S. Census data illustrate Hispanic population density by state, highlighting regional variations through graduated color schemes that emphasize derived metrics like rates or percentages rather than raw counts.[64] Analytical applications of location in geography leverage spatial statistics to uncover patterns, including spatial autocorrelation measured by Moran's I statistic, which quantifies clustering by assessing the similarity of values in neighboring geographic units relative to the overall mean.[65] Moran's I, a spatially weighted correlation coefficient, detects global patterns such as positive autocorrelation indicating clustering (e.g., disease incidence hotspots) or negative values suggesting dispersion, with values ranging from -1 to +1.[65]
Here, is the number of observations, and are values at locations and , is the mean, and represents spatial weights based on proximity.[65] Location data also integrates with remote sensing in geographic information systems (GIS) for land-use classification, where satellite imagery from sources like Sentinel-2 is processed using machine learning algorithms, such as Random Forest, to categorize landscapes with high accuracy (e.g., 96.8% for cocoa plantations in Ghana).[66] This fusion enhances the identification of features like vegetation cover or urban expansion by combining spectral indices (e.g., NDVI) with geospatial coordinates.[66]
A prominent case study in epidemiology demonstrates location's role in tracking disease spread through geocoded data, as seen in the 2020 COVID-19 outbreak in Gansu Province, China, where 54 cases were mapped using ArcGIS to reveal spatial clusters.[67] Residential addresses were geocoded and analyzed with Local Indicators of Spatial Association (LISA) based on Moran's I, identifying high-high clusters in eastern Lanzhou (4.55% of cases) and sporadic outliers, aiding public health responses by visualizing imported versus secondary transmissions.[67]
The representation of location in geography has evolved from static printed maps to dynamic web-based GIS platforms, enabling interactive visualization and real-time data integration.[68] This shift, driven by internet accessibility and open formats like Keyhole Markup Language (KML), transformed tools such as Google Earth—first released in 2005 as a free service for satellite imagery and 3D modeling[69]—into widely used systems for public exploration of geospatial data.[68]