What Does a Data Processing Manager Do?

Data processing refers to the use of electronic computers to enter, edit, summarize, calculate, analyze, predict, store and manage a large number of raw data or materials. Data can be in the form of numbers, text, images or sounds. The basic purpose of data processing is to extract relatively valuable and meaningful data from a large amount of cluttered and difficult to understand data. Data processing runs through all areas of social production and social life.

Data processing refers to the use of electronic computers to

Data management is a kind of data classification, organization, coding, storage, query and maintenance activities. It is a key link in data processing. According to the level of data independence, data redundancy, data sharing, data interconnection, data security, data integrity and data access methods, data management technology is usually divided into manual management , File management, database management three development stages.

There are multiple sources of spatial data. Different data sources have different input methods. No matter what method is used to input data, there will be some problems, such as unexpected errors in the input process, the input data is inconsistent with the format used, and the scale of the data from various sources , The projections are not uniform, the maps do not match. Therefore, the spatial data must be processed and managed in order to obtain a pure and unified data file, so that the stored spatial data meets the requirements of specifications and standards, and meets the needs of use and analysis. ^[3]

Data processing manages the input of graphic data

The input process of graphic data is actually a process of digital processing of graphics. For spatial data from different sources, it is difficult to find a unified and simple input method, which can only be selected from the following general methods.

(1) Manual keyboard input;

(2) Digital input of hand-tracking digitizer;

(3) Automatically scan digital input;

(4) Analytical map data input;

(5) Global positioning system, which can correctly obtain the spatial position and elevation data, and can be connected to a computer and directly input;

(6) Input of existing spatial data in digital form. This method is used to receive data in digital form. ^[3]

Data processing management input of attribute data

The attribute data is the characteristic data of the spatial entity. Generally, a spatial entity and its attributes are assigned one or more keywords for connection. Attribute data is generally entered using the keyboard. When the amount of data is large, attribute data and spatial data are input and stored separately. Enter the attribute data into a sequence file first, and then save it to the corresponding file or form in the database after editing and checking. This is a common method for entering attribute data. ^[3]

GIS Data processing management editing of GIS data

The purpose of data editing is to eliminate errors or errors introduced during data entry. They include incorrect and deformed spatial points, missing or repeated spatial points and line segments, line segments that are too long or too short, areas that are not closed, area center identification codes missing, and node codes and area codes that do not conform to the consistency of the topology. , Wrong classification of attributes, incorrect coding or incorrect input, etc.

Before editing GIS data, multi-process data verification should be performed. The inspection methods are:

(1) Check the target, display the graphic entity on the screen, and check for some obvious errors, such as missing line segments, non-closed image spots, and excessively long line segments.

(2) Machine check, which is mainly a logical check of the topological consistency of digital data, connecting arc segments into polygons to check the digital tolerance.

(3) Graphic overlap comparison, that is, drawing the input graphic and its corresponding attributes on a transparent material with a data output module at the same scale as the original image, and then overlaying it exactly with the original image, and carefully observe it on a light-transmitting table And compare, find omissions, position errors, etc., and mark them accordingly.

(4) Attribute data check. A common and simple method is to output the property file with a printer and check it line by line. Another method is to compile a check program and scan the data file with the program to see if text replaces the number or the number exceeds The allowable range and other gross errors. ^[3]