My Ssec Capstone Project SPATIAL DATABASES A spatial database is a database that is upgraded to store and access spatial information or information that characterizes a geometric space

SPATIAL DATABASES A spatial database is a database that is upgraded to store and access spatial information or information that characterizes a geometric space

A spatial database is a database that is upgraded to store and access spatial information or information that characterizes a geometric space. It can also be defined as data related to space.

These information are frequently connected with geographic areas and includes, or developed highlights like urban areas. Information on spatial databases are put away as directions, focuses, lines, polygons and topology. Some spatial databases handle more mind boggling information like three-dimensional articles, topological inclusion and direct systems. Normal database frameworks utilize files for a quicker and more proficient pursuit and access of information. This list, nonetheless, isn’t fit for spatial inquiries. Rather, spatial databases utilize something like a one of a kind list called a spatial list to accelerate database execution. Spatial ordering is particularly required in light of the fact that a framework ought to have the capacity to recover information from a vast accumulation of articles without extremely looking through the entire bundle. It ought to likewise bolster connections between associating objects from various classes in a superior way than simply sifting. The term spatial database has become popular due to the intoroduction of “symposium on large spatial databases(SSD). This is associated with a view of databases as containing sets of objects in space rather than images or pictures of space. Spatial databases gives administrations to store and control geometries, for the most part situated in a geodetic framework. The significance of the spacial database behind your GIS will for the most part rely upon the use, however as a rule, you can scarcely discuss GIS on the off chance that you don’t have a legitimate spatial database for information stockpiling. Due to the fact that computers can only manipulate linear, one dimension data, you can split spatial databases in two logical parts :
Geometry manipulation and indexing, with geodesy support
Storage technology
The algorithms and logic used for the geometry manipulation are really specific, and then mapped to classical one dimension data to make them directly compatible with computers for storage.

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A relationship diagram of a spatial database

Draft of spatial databases

Spatial data
spatial data also known as geospatial data is information about a physical object that can be represented by numerical values in a geographic coordinate system.

Generally, spatial data represents the location, size and shape of an object on planet earth such as buildings, mountains, lakes and other natural and man made things. Spatial data may also include attributes that provide more information about the attribute that is been represented. Spatial databases are designed to access spatial data.
spatial data types
there are two types of spatial datatypes The geometry data type supports planar, or Euclidean (flat-earth), data. geography data type, which stores ellipsoidal (round-earth) data, such as GPS latitude and longitude coordinates.

 geometry hierarchy upon which the geometry and geography data types are based.


Performance of spatial databases in its area of application and what it actually entails
Spatial databases, addressing the growing data management and analysis needs of spatial applications such as geographic information systems, have been an active area of research for more than two decades. This research has produced a taxonomy of models for space, spatial data types and operators, spatial query languages and processing strategies, as well as spatial indexes and clustering techniques. However, more research is needed to improve support for network and field data, as well as query processing (e.g., cost models, bulk load). Another important need is to apply spatial data management accomplishments to newer applications, such as data warehouses and multimedia information systems. The objective of this paper is to identify recent accomplishments and associated research needs of the near term.

This is the main application of driving research systems are the geographic information systems. There are two important things that are represented; objects in space and space.

Application of spatial databases
Urban Planning Urban planning requires analysis of long historical data using computer for modelling and simulation. A database management tool ,GIS, offers forward data mapping functions that can be used for displaying geographical information and at backhand data retrieval functions for ‘querying’ maps. These front-end and backend operations helps analysts and planners for better management. These analysis help in transportation analysis , land use analysis, pollution analysis etc. Analysing these type types of data we can plan for better use of resources and services.

Military operations:
spatial data plays an important role to the military in battle fields as it helps decision making in the planning and diverse ways to capture enemy territory. “GIS allows military land and facilities managers to reduce base operation and maintenance costs, improve mission effectiveness, provide rapid modelling capabilities for analysing alternative strategies, and improve communication and to store institutional knowledge.”
geographic systems is helpful in being able to map and present current and predict future changes in weather hence make farmers know in which season they are to grow specific kind of crops. By mapping the geographical and geological features of current (and potential) farmlands scientists and farmers could work together in creating more effective and efficient farming techniques; this would increase production of food in different parts of the world that are facing problems in producing enough food for the people around them.

Disaster and emergencies :
all ways of controlling and managing disaster and emergencies depends on data from various sources. Important data collected, organized and displayed logically to determine the area and scope of emergency management programs. By the use of geographic information systems, all departments could share information through a database on computer generated location in one place.

Weather forecasting :
the geographic information system in weather processing systems allows instant plotting, interpretation of the weather within an area. Geographic information system has facilitated the incorporation of numerical weather model output into weather processing systems, upon which the satellite images and topography can be layed.

Goals in the contexts of databases
database systems are required for information access inside the organization
Current database the board frameworks are reliant on a programming dialect that is called organized question dialect. This dialect is then used to access, refresh and erase information that are available inside its tables. The database frameworks additionally contain programs that incorporate Microsoft’s SQL server and the open source MySQL questions that empower outside projects to get to its information through SQL inquiries. For instance, a site page can show data or information that incorporates item information and portrayal, photos and costs. This data is effectively accessible to the client effortlessly, when the web server programming is associated with the social database the executives framework.

Databases are needed to maintain strong relationship between data
A standout amongst the most essential elements of social database the board frameworks programs is that it permits distinctive information tables to identify with each other. At the point when a database contains data about representative information on its item deals in a single table and another table contain data one with deals worker information, at that point a social database will be impeccable to deal with their connections in a precise and straightforward style. This framework thusly can help mark directors to comprehend essential measurements like which sales representative can offer the most or which item is being sold by a specific businessperson.

Achievements of spatial databases
-a consistency with little or no redundancy- maintenance of data quality including updating- self descriptive with metadata- high performance by database management system with database language- security including access control
– better data storage and updating- more efficient retrieval- more efficient output

Reported strengths and weakness of spatial databases

Strength weakness
Can be useful in some historical contexts, for getting data about past agents Cannot directly identify agents or household characteristics
Can identify suitability and spatial driving factors Requires assumed underlying decision model, which cannot be tested.

Can cover a large area Interpreting results can be difficult because of non-stationary, feedbacks, time lags, in the system.
The evolution of spatial databases
The evolution of spatial databases has gone through three stages;
Spatial database based on relational model(RDBMS) The technologies based on relational model for spatial database are used for commercial GIS software, such as ARCIINFO of ESRI, MGE of Intergraph etc. Its lacks in processing and packaging of data. It also cannot deal with the coinciding relationships, aggregation relationships and relationships between specifics and generals.

Spatial database based on Object-oriented spatial database(OODBS) With reference to object-oriented thinking, each surface features can be abstracted as a class object with public properties, such as point , line , area and so on. Specific surface features are an instance of the object. It also has its own attributes and manages various objects hierarchically. It is good at describing the complex data types. Its shortcomings are lack of OODBS standard, development tools and defense mechanism. Its model is complex.

Spatial database based on Object – Relational Spatial Database (ORDBMS) ORDBMS has the features inherited from both of SQL of relation world and object world in essence. It also adds flexibility in data server. It supports complex “user-defined” application object and logic. It uses abstract data type which can hide any complex internal structure and properties to express spatial object. It also adds that type’s operation in user-defined data types
Features of a spatial database
Spatial measurements
Lengths of lines, area of polygons and the distance between geometries can be measured easily I spatial database.

Spatial functions
Spatial database can modify existing features to create new ones, for example intersecting features.

Spatial predicates
Allows true/false or allows Boolean queries about a spatial relationship between geometries
Volume : the size of spatial data are large. It contains multidimensional data that require more storage space.

Architecture of spatial databases
The architecture or nature of a spatial database management system is a three layer architecture
The top layer: this layer comprises of the spatial data application through which user communicates directly with the database. These Application includes GIS(Geographic Information System), MMIS(Multimedia Information System) or CAD(Computer Aided Design). These can be used for capturing, storing, manipulating, analysing, managing and presenting all types of spatial or geographical data.

The middle layer: the middle layer is the spatial database where all the domain knowledge are enclosed. The spatial data application communicates directly with this layer. This layer interacts directly with both application layer and database server.

The bottom level: this layer contains the object relational database server that stores the data. It supports both object oriented database model and relational database model.