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4. MAVANYISI H 202314953
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The Impact and Advancements of Digital Mapping and Data Visualization, Schemes and Mind Maps of Geodesy and Cartography
The evolution and benefits of digital mapping and data visualization, focusing on the transition from traditional paper maps to web-based maps. It discusses the advantages of web maps, such as real-time information, dynamic interaction, and search functionality. The document also delves into the differences between raster and vector data models and their suitability for various applications. Furthermore, it highlights the integration of spatial analysis and visualization with data science, machine learning, and virtual reality.
Typology: Schemes and Mind Maps
2023/2024
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COMPUTER ASSISTED
CARTOGRAPHY ASSIGNMENT.
MEMBERS.
1. MAHLAKOANE B.S 2023257541
2. LAMBANI M.G 202312688
3. MASHABELA K.M 202218456
4. MAVANYISI H 202314953
Table of content
- Map projection……………………………………………………………………………………….……………………………………….…
- Advantages and Disadvantages of web-based mapping……………………………………………………………………..
- Raster and vector data model…….…………………………….………………………………………………………………..………
- Evolution of computer-assisted cartography……………….……………………………………………………………………..
- Analyses and critiques……………………………………………………………………………………………………….……………….
- References…………………………………………………………………………………………………………………………………..…..
Data visualization enables a map user to interpret it and get a final message of the data. Data visualization in the map that shows population density can use different elements to show different population densities. The thematic map shows a blue color in different shades to demonstrate the variation of population densities. The countries with darker colors have high population density and the countries with lighter colors have low population density. (Admin Civil, 2022) defines Georeferencing as the process of adding coordinate information (latitude and longitude) to a digital image or other spatial data so that it can be accurately displayed on a map. Georeferencing adds coordinate information to existing information there by the accuracy of the spatial data is aligned with the earth's surface. It simplifies the map creation process and visualization. Helps in developing new forms of spatial data like maps which are accurate representations of reality, are accurately aligned with the earth's surface, and can be used for analysis and planning by planners and engineers. Georeference raster data using existing spatial data to align it with the desired map coordinate system. The process involves identifying ground control points (x,y coordinates) that link raster data locations with target data. Georeference raster data using existing spatial data (target data) to align it with the desired map coordinate system. Transforming the raster dataset to match the map coordinates of the target data ensures the correct map coordinates are determined for each cell in the raster. Review the accuracy of the points and errors, save ur work, (Esri, 2024).
Advantages of Web-Based Mapping Applications
- Anyone with an internet connection can access web-based maps from any location. Without carrying actual maps, users can access them on a variety of devices (computers, tablets, and cell phones). -Open a browser or app instead of unfolding and refolding paper maps.
- Real-time information on web maps includes weather updates, road closures, and traffic conditions. -Unlike paper maps, which go out of current over time, changes (new roads, landmarks, etc.) are represented promptly.
- Users can examine maps at various scales by using the zoom, panning, and search functions. -Multi-layered information improves user experience (e.g., street view, satellite images, and public transit). -Traditional maps lack this dynamic interaction.
- Web maps can overlay multiple data layers (e.g., traffic, public transportation, points of interest). -Traditional maps are limited to what's printed on paper.
- Web maps are free for most users, reducing the need to purchase physical maps.
- Web maps offer search functionality, users can find specific locations, businesses, or services easily.
-Navigation features provide turn-by-turn directions, estimate travel times and alternate routes. Disadvantages of Web-Based Mapping Applications
- The functionality of web maps depends on the device's battery life and internet connectivity. Access offline could be restricted, -Traditional paper maps work independently of technology.
- For individualized experiences, web maps gather user information (such as location and search history). -Concerns over data sharing and privacy may exist among certain individuals.
- Web maps require familiarity with the settings, functionality, and interface. -Traditional maps are straightforward and universally understood.
- Cost and Licensing: Advanced capabilities on certain web map services need a license charge, or the service may be subscription-based -Buying traditional paper maps is a one-time event.
- Large-scale paper maps have more resolution and may contain more fine detail than web maps provide. Conventional maps offer an all-encompassing perspective of a particular region.
Raster data model
The raster data model consists of rows and columns of equally sized pixels interconnected to form a planar surface. These pixels are used as building blocks for creating points, lines, areas, networks, and surfaces. Although pixels may be triangles, hexagons, or even octagons, square pixels represent the simplest geometric form with which to work. Accordingly, most available raster GIS data are built on square pixels. These squares are typically reformed into rectangles of various dimensions if the data model is transformed from one projection to another (e.g., from State Plane coordinates to UTM [Universal Transverse Mercator] coordinates). Because of the reliance on a uniform series of square pixels, the raster data model is referred to as a grid-based system. Typically, a single data value will be assigned to each grid locale. Each cell in a raster carries a single value, which represents the characteristic of the spatial phenomenon at a location denoted by its row and column. The data type for that cell value can be either integer or floating-point. Alternatively, the raster graphic can reference a database management system wherein open-ended attribute tables can be used to associate multiple data values to each pixel. The advance of computer technology has made this second methodology increasingly feasible as computer storage issues no longer constrain large datasets as they were previously.
In contrast, the raster data model is the vector data model. In this model, space is not quantized into discrete grid cells like the raster model. Vector data models use points and their associated X, and Y coordinate pairs to represent the vertices of spatial features, much as if they were being drawn on a map by hand. The data attributes of these features are then stored in a separate database management system. The spatial information and attribute information for these models are linked via a simple identification number given to each feature on a map. Three fundamental vector types exist in geographic information systems (GIS): points, lines, and polygons. Points are zero-dimensional objects that contain only a single coordinate pair. Points are typically used to model singular, discrete features such as buildings, wells, power poles, and sample locations. Points have only the property of location. Other types of point features include the node and the vertex. Specifically, a point is a stand-alone feature, while a node is a topological junction representing a common X, Y coordinate pair between intersecting lines and/or polygons. Vertices are defined as each bend along a line or polygon feature that is not the intersection of lines or polygons. Points can be spatially linked to form more complex features. Lines are one-dimensional features composed of multiple, explicitly connected points. Lines are used to represent linear features such as roads, streams, faults, and boundaries. Lines have the property of length. Lines that directly connect two nodes are sometimes referred to as chains, edges, segments, or arcs. Polygons are two-dimensional features created by multiple lines that loop back to create a "closed" feature. In the case of polygons, the first coordinate pair (point) on the first line segment is the same as the last coordinate pair on the last line segment. Polygons are used to represent features such as city boundaries, geologic formations, lakes, soil associations, and vegetation communities. Polygons have the properties of area and perimeter. Polygons are also called areas. Vector data is most suitable for applications that require high precision and detail, such as: Mapping boundaries: like political borders, property lines, or district zones. Infrastructure planning: for roads, bridges, and utilities where exact locations are crucial. Environmental management: to track the spread of features like forest stands, wildlife habitats, or pollution sources. Urban planning: to design and manage land use, zoning, and city layouts.
Evolution of computer-assisted cartography
During the 1950s and 1970s With the introduction of mainframe computers in the late 1950s and early 1960s, the first types of computer-assisted cartography appeared. The main purpose of these systems was to digitize and store geographic data. Geographic Information Systems (GIS) development in the 1960s was one of the early turning points. Geographic data may be manipulated, stored, and analyzed thanks to these systems. Progress throughout the 1980s: The capabilities of computer-assisted cartography were substantially expanded by the notable developments in computer hardware and software that occurred in the 1980s.
The advent of desktop computers and graphic user interfaces (GUIs) increased the accessibility of mapping software for a larger user base. During this time, important software systems like GeoMedia from Intergraph and ArcGIS from ESRI emerged, offering strong capabilities for making, modifying, and analyzing maps. The 1990s saw the emergence of digital mapping systems. Thanks to developments in satellite technology, GPS, and remote sensing, digital mapping systems became widely used in the 1990s and 2000s.GPS technology and high-resolution satellite photography made it possible to create maps that were more precise and comprehensive. With its ability to provide interactive maps to anybody with an internet connection, web-based mapping services such as Google Maps and MapQuest have become increasingly popular. With the emergence of open-source mapping initiatives like OpenStreetMap (OSM), collaborative map building and data sharing became possible on a worldwide level. Michael Goodchild in the 1990s saw Integration of Spatial Analysis and Visualization (2010s-present): Computer-assisted cartography has been overlapping with data science, machine learning, and virtual reality during the last ten years. Integration, geographical analysis, and visualization gained popularity in the 1990s across several disciplines, especially geography, environmental science, and geology. During this time, several eminent scientists and institutions made significant contributions to the development of these techniques. Here are some significant numbers and advancements: Michael Goodchild who throughout the 1990s, spatial analysis and visualization saw tremendous advancements thanks to the work of eminent geographer and geographic information science (GIS) pioneer Michael Goodchild. His work centered on developing analytical methods for comprehending geographical patterns and processes, integrating spatial data, and enhancing GIS technologies. In 1969, Jack Dangermond established the Environmental Systems Research Institute (ESRI), which went on to become a preeminent supplier of GIS technology and software. With products like ArcGIS, which offered robust tools for geographic analysis and visualization, ESRI continued to innovate in the 1990s. With the aid of these tools, users were able to combine various spatial datasets, carry out intricate analyses, and produce eye-catching maps and visuals. The National Center for Geographic Information and Analysis (NCGIA), which was founded in 1988, has been instrumental in promoting GIS teaching and research. The NCGIA supported a few initiatives centered on spatial analysis, integration, and visualization during the 1990s, encouraging interdisciplinary research and the creation of novel techniques and instruments. In the 1990s, satellite images and aerial photography, among other remote sensing technologies, were more readily available and frequently employed. These resources offered useful spatial data for researching land use trends, keeping an eye on environmental changes, and performing spatial analysis at different scales. It was also seen as a notable expansion in the subject of scientific visualization, which is concerned with the visual representation of complex scientific data. Sophisticated methods for showing spatial data, such as 3D rendering, animation, and interactive visualization tools, have been developed by researchers and practitioners. More analytical methods for examining spatial correlations and patterns in data have been developed because of advancements in spatial statistics approaches, including spatial autocorrelation, spatial
This map uses color value not to show the category or hierarchy of map features but to visually encode the country level of unemployment data. It also simplifies the map of the US(not showing even major highways or mountain ranges, but only state and country boundaries) to emphasize the map's theme. Due to the thoughtful use of color and simple layout design, this map successfully communicates geographic trends of unemployment. To improve the map we can encode its data primarily using proportionally-sized symbols. The color value is used for additional effect, a technique called dual encoding. Also, use a color relevant to the topic so that it is intuitive and accessible to the audience. Customize the map legend values. Set the startup graph type, and customize the graphs by indicator. Topographic Map https://www.mapsofindia.com/maps/india/topographic-map.htm A topographic map is a detailed and accurate illustration of man-made and natural features on the ground such as roads, railways, power transmission lines, contours, elevations, rivers, lakes, and geographical names. The Map shows topographic regions- the Himalayas, the Peninsular Plateau, The Northern Plains, and the Coastal Plains, etc. It covers a total area of 3,287,263 sq km, showing the whole of India, to show a detailed, accurate graphic representation of features that appear on India's surface. Legend of the map explains the symbols and colors used on the map. On the map, different colors have been used relevant to the feature, blue for the ocean, green for the surface of the map, etc. There are
geographic features such as International boundaries, State boundaries, rivers, and mountain peaks that also form part of the map, different colors and shapes are used for the geographic features to be distinguished from each other. For example, broken black lines for the State boundary, and blue lines represent the river Recommendations to improve the topographic map. Resolution can be increased to capture finer details, especially in areas with complex terrain or significant features. The use of contour lines to accurately represent the terrain's elevation changes. Include a scale to help users interpret distances accurately. Provide a coordinate grid, and incorporate a coordinate grid system such as latitude and longitude to facilitate precise location referencing. Utilization of digital tools, taking advantage of digital mapping software to create interactive maps, allowing users to customize layers and access additional information.