Skip to main content

Geographic CRS (Coordinate Reference System)

In GIS, a Geographic CRS (Coordinate Reference System) is a system used to define and represent locations on the Earth's surface using latitude and longitude coordinates. It is based on the concept of a three-dimensional ellipsoidal or spherical model of the Earth.

A Geographic CRS provides a framework for accurately specifying the position of a point on the Earth's surface by assigning numerical values to latitude and longitude. Here's a brief explanation of the components and characteristics of a Geographic CRS:

1. Latitude: Latitude measures the distance north or south of the Earth's Equator. It is expressed in degrees, with values ranging from -90° at the South Pole to +90° at the North Pole. The Equator is defined as 0° latitude.

2. Longitude: Longitude measures the distance east or west of a reference meridian. The most commonly used reference meridian is the Prime Meridian, which passes through Greenwich, London, and is assigned a value of 0°. Longitude values range from -180° to +180°, with negative values representing locations west of the Prime Meridian and positive values representing locations east of it.

3. Ellipsoidal and Spherical Models: Geographic CRSs can be based on either an ellipsoidal or a spherical model of the Earth. The ellipsoidal model approximates the Earth's shape as an oblate spheroid, while the spherical model represents it as a perfect sphere. The choice of model depends on the level of accuracy required for a particular application.

4. Datum: A datum is a mathematical model that defines the size, shape, and orientation of the Earth, serving as the reference framework for a Geographic CRS. Different datums are used worldwide, such as the World Geodetic System 1984 (WGS84) and the North American Datum 1983 (NAD83). The datum defines the position of the coordinate origin (0,0) and the orientation of the coordinate axes within a Geographic CRS.

5. Angular Units: Geographic CRSs typically use angular units, such as degrees, minutes, and seconds (DMS) or decimal degrees (DD), to express latitude and longitude values.

Geographic CRSs are widely used for various applications in GIS, such as mapping, spatial analysis, and data integration. They provide a common reference system that allows spatial data from different sources to be accurately aligned and analyzed together. When working with Geographic CRSs, it's important to ensure that data is transformed or projected correctly when required to match the desired coordinate system and avoid distortions or errors.

Comments

Popular posts from this blog

History of GIS

1. 1832 - Early Spatial Analysis in Epidemiology:    - Charles Picquet creates a map in Paris detailing cholera deaths per 1,000 inhabitants.    - Utilizes halftone color gradients for visual representation. 2. 1854 - John Snow's Cholera Outbreak Analysis:    - Epidemiologist John Snow identifies cholera outbreak source in London using spatial analysis.    - Maps casualties' residences and nearby water sources to pinpoint the outbreak's origin. 3. Early 20th Century - Photozincography and Layered Mapping:    - Photozincography development allows maps to be split into layers for vegetation, water, etc.    - Introduction of layers, later a key feature in GIS, for separate printing plates. 4. Mid-20th Century - Computer Facilitation of Cartography:    - Waldo Tobler's 1959 publication details using computers for cartography.    - Computer hardware development, driven by nuclear weapon research, leads to broader mapping applications by early 1960s. 5. 1960 - Canada Geograph...

Supervised Classification

Image Classification in Remote Sensing Image classification in remote sensing involves categorizing pixels in an image into thematic classes to produce a map. This process is essential for land use and land cover mapping, environmental studies, and resource management. The two primary methods for classification are Supervised and Unsupervised Classification . Here's a breakdown of these methods and the key stages of image classification. 1. Types of Classification Supervised Classification In supervised classification, the analyst manually defines classes of interest (known as information classes ), such as "water," "urban," or "vegetation," and identifies training areas —sections of the image that are representative of these classes. Using these training areas, the algorithm learns the spectral characteristics of each class and applies them to classify the entire image. When to Use Supervised Classification:   - You have prior knowledge about the c...

Pre During and Post Disaster

Disaster management is a structured approach aimed at reducing risks, responding effectively, and ensuring a swift recovery from disasters. It consists of three main phases: Pre-Disaster (Mitigation & Preparedness), During Disaster (Response), and Post-Disaster (Recovery). These phases involve various strategies, policies, and actions to protect lives, property, and the environment. Below is a breakdown of each phase with key concepts, terminologies, and examples. 1. Pre-Disaster Phase (Mitigation and Preparedness) Mitigation: This phase focuses on reducing the severity of a disaster by minimizing risks and vulnerabilities. It involves structural and non-structural measures. Hazard Identification: Recognizing potential natural and human-made hazards (e.g., earthquakes, floods, industrial accidents). Risk Assessment: Evaluating the probability and consequences of disasters using GIS, remote sensing, and historical data. Vulnerability Analysis: Identifying areas and p...

History of GIS

The history of Geographic Information Systems (GIS) is rooted in early efforts to understand spatial relationships and patterns, long before the advent of digital computers. While modern GIS emerged in the mid-20th century with advances in computing, its conceptual foundations lie in cartography, spatial analysis, and thematic mapping. Early Roots of Spatial Analysis (Pre-1960s) One of the earliest documented applications of spatial analysis dates back to  1832 , when  Charles Picquet , a French geographer and cartographer, produced a cholera mortality map of Paris. In his report  Rapport sur la marche et les effets du cholĂ©ra dans Paris et le dĂ©partement de la Seine , Picquet used graduated color shading to represent cholera deaths per 1,000 inhabitants across 48 districts. This work is widely regarded as an early example of choropleth mapping and thematic cartography applied to epidemiology. A landmark moment in the history of spatial analysis occurred in  1854 , when  John Snow  inv...

Representation of Spatial and Temporal Relationships

In GIS, spatial and temporal relationships allow the integration of location (the "where") and time (the "when") to analyze phenomena across space and time. This combination is fundamental to studying dynamic processes such as urban growth, land-use changes, or natural disasters. Key Concepts and Terminologies Geographic Coordinates : Define the position of features on Earth using latitude, longitude, or other coordinate systems. Example: A building's location can be represented as (11.6994° N, 76.0773° E). Timestamp : Represents the temporal aspect of data, such as the date or time a phenomenon was observed. Example: A landslide occurrence recorded on 30/07/2024 . Spatial and Temporal Relationships : Describes how features relate in space and time. These relationships can be: Spatial : Topological (e.g., "intersects"), directional (e.g., "north of"), or proximity-based (e.g., "near"). Temporal : Sequential (e....