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Location – Where the object is found on the map or photo. Knowing the place can give clues about what it is.
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Size – How big or small it appears, which helps identify objects (e.g., a football field vs. a garden).
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Shape – The outline or form of the object, such as round, rectangular, or irregular.
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Shadow – The dark area an object casts; it helps guess height, shape, and type of object.
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Tone/Color – Lightness, darkness, or color differences that help tell objects apart (e.g., blue water, green vegetation).
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Texture – How smooth or rough the surface looks in the image (e.g., forest appears rough, grassland appears smooth).
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Pattern – The arrangement or repetition of objects, like rows of trees or grid-like city blocks.
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Height/Depth – How tall or deep an object or landform is, often estimated from shadows or stereo images.
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Site/Situation/Association – The surroundings and relationships between objects (e.g., a swimming pool next to a house, or a factory near a railway line).
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 choléra dans Paris et le département 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...
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