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Sources of spatial data

 Survey Data Concepts and Terminologies: • Ground Survey: This is the direct measurement of features on the Earth using instruments such as total stations, theodolites, and modern Global Navigation Satellite Systems (GNSS, e.g., GPS). • Control Points: Fixed locations measured with high accuracy; these serve as reference points (or benchmarks) to georeference and tie together spatial datasets. • Coordinate Geometry (COGO): Techniques for calculating distances and angles from measured points, often used in legal and cadastral surveys. Examples: • A cadastral survey for establishing property boundaries typically involves collecting precise GNSS coordinates at the corners of parcels. • Engineering projects rely on survey data to create high-accuracy maps where the relative positions of roads, utilities, and buildings must be known within decimeter or even centimeter accuracy. Survey data is fundamental in creating the framework for maps and digital elevation models (DEM...

Spatial data and Attribute data

Spatial Data Definition: Spatial data represents the geometric location of features on the Earth's surface. It defines the shape, size, and position of geographic entities. Key Concepts and Terminologies: Geometric Representation: Point Data: Represents a single location (e.g., a city center, weather station). Line Data: Represents linear features (e.g., roads, rivers). Polygon Data: Represents area-based features (e.g., administrative boundaries, lakes). Coordinate Systems & Projections: Geographic Coordinate System (GCS): Uses latitude and longitude (e.g., WGS 84). Projected Coordinate System (PCS): Converts curved surface data to a flat map (e.g., UTM, Mercator). Data Formats: Vector Data: Stores discrete features (points, lines, polygons). Raster Data: Stores continuous data in grid format (e.g., satellite imagery, elevation models). Examples of Spatial Data: A vector dataset of roads with line geometries stored in Shapefile (.shp) f...

Geographic Data Precision and Data Organization

Geographic Data Precision Definition: Precision in geographic data refers to the level of detail and exactness of spatial data, including coordinate measurements, attribute values, and scale representation. Key Concepts and Terminologies: Spatial Resolution: The smallest measurable unit in a dataset. For raster data, it refers to the pixel size (e.g., Sentinel-2 has a 10m resolution for some bands). Positional Accuracy: The closeness of recorded spatial coordinates to their true location (e.g., GPS readings within ±3 meters). Attribute Accuracy: The correctness of non-spatial information (e.g., land cover classification). Temporal Accuracy: The precision of time-related aspects in data, such as timestamps in satellite imagery. Scale Dependence: The relationship between data precision and map scale (e.g., a 1:10,000 scale map has more detailed features than a 1:100,000 map). Error Propagation: The accumulation of inaccuracies when processing spatial data (e.g., errors in d...

Earthquake

1. Earthquakes: Definition and Causes An earthquake is a sudden shaking of the Earth's surface caused by the release of energy in the Earth's crust. This energy release can stem from several sources: Tectonic Stress:  The primary cause, resulting from the movement and interaction of tectonic plates. Volcanic Activity:  Earthquakes can accompany volcanic eruptions. Human Activities:  Certain human actions, such as mining, can induce earthquakes. Example:  The 2011 Tōhoku earthquake (Japan) was a magnitude 9.0 megathrust earthquake caused by the subduction of the Pacific Plate beneath the Okhotsk Plate at a convergent plate boundary. 2. Seismic Waves: Types and Characteristics Earthquakes generate seismic waves that propagate through the Earth. These waves are categorized as: Body Waves:  Travel through the Earth's interior. Primary Waves (P-waves): Fastest seismic waves (6–7 km/s). Compressional waves (particle motion is parallel to wave propagation). Travel through solids, ...