Aperçu des sections

  • Generality

            

    Semester 1
    Teaching Unit: Methodology (UE)
    Subject: Graphic Systems and Maps

    Themes:

    Coefficient: 2
    Credits: 4

    Course Objectives

    This course aims to introduce students to the representation of both quantitative and qualitative data, focusing on statistical data representation. It teaches students to structure geographic information on both paper and digital formats, primarily through maps, by learning visualization methods and techniques.

    Recommended Prerequisite Knowledge

    Basic concepts of cartographic terminology.

    Table of continent

     English

    Francais

    1.       Étapes du Traitement Graphique de l'Information et Création d'une Carte Thématique
    1.1. Théorie et Conception Cartographique (échelle, généralisation, types de mise en page)
    1.2. Traitement des Données Statistiques (discrétisation)
    1.3. Types de Données (données qualitatives/quantitatives) et Sémiologie Graphique
    1.4. Concept de Géodésie
    1.5. Forme de la Terre
    1.6. Systèmes de Coordonnées
    1.7. Projections Cartographiques
    1.8. Sources d'Acquisition et Modes de Représentation de l'Information Géographique
    1.9. Information Géographique

    2. Modes de Représentation :
    2.1. Format Raster (Acquisition de cartes de base)
    2.1.1. Cartes de base
    2.1.2. Photographies aériennes
    2.1.3. Images satellitaires
    2.1.4. Plans scannés (plans cadastraux, etc.)
    2.2. Format Vectoriel :
    CAD/DAO et vecteurs provenant de divers logiciels SIG (ArcGIS, MapInfo, QGIS, etc.)

    3. Format Alphanumérique :
    3.1. Données Excel
    3.2. Données Access (bases de données), etc.

     

    1.       Steps in the Graphic Processing of Information and Creation of a Thematic Map

    1.1.     Theory and Cartographic Design (scale, generalization, types of layout)

    1.2.     Processing of Statistical Data (discretization)

    1.3.     Types of Data (qualitative/quantitative data) and Graphic Semiology

    1.4.     Concept of Geodesy

    1.5.     Shape of the Earth

    1.6.     Coordinate Systems

    1.7.     Cartographic Projections

    1.8    Sources of Acquisition and Modes of Representation of Geographic Information

    1.9    Geographic Information

    2.       Modes of Representation:

    2.1.     Raster Format (Acquisition of base maps)

    2.1.1.  Base maps

    2.1.2.  Aerial photographs

    2.1.3.  Satellite images

    2.1.4.  Scanned plans (Cadastral plans, etc.)

    2.2.     Vector Format:
    CAD/DAI and vectors from various GIS software (ArcGIS, MapInfo, QGIS, etc.)

    3.       Alphanumeric Format:
    3.1. Excel Data,

    3.2.  Access Data (database), etc.

     

    Evaluation Method

    Refer to the evaluation sheet


  • Notion de base de la terminologie cartographique

    Session 01 :  Definitions and concepts

    Steps in the Graphic Processing of Information and Creation of a Thematic Map

    1.1.   Theory and Cartographic Design (scale, generalization, types of layout)

    1.2.   Processing of Statistical Data (discretization)

    1.3.   Types of Data (qualitative/quantitative data) and Graphic Semiology

    1.       cartography:

    Cartography can be defined as the practice or study of map making. To further explain, the art of cartography and therefore the work of the cartographer allows us to understand the geographic landscape around us through a principle of mathematical scale, graphical representation and associated symbology. Cartography has been around for thousands of years and much has been written about the history of cartography and the complexities of map projections, however in this short blog we focus on defining the modern cartographic process from initial needs assessment to delivery of the finished map in the agreed format.

    2.       Map : The map is the science, technology and art of cartographic mapping and using maps (Miljenko Lapaine 2021).

    2.1.Types of maps

    Base map

    Thematic map

    Analytic map

    Syntithic map

    Geologic Basemap

    Topographic Basemap

     

     

     

     

     

     

     

     2.2.            Map’s elementes

    The frame of the map: makes it possible to delimit the information outside it from that which is inside. Alle map has principal elements:

     

    2.3.                     Topographic basemap What can I learn using these maps?

     Outside the frame: All information placed outside the frame of the map is for convenience and allows for easier reading of the map.  which the map was designed.

    a- Sheet number: allowing it to be placed in an assembly table.

    b. Orientation (North, South):

    c. North Arrow (Geographic North and Magnetic North): Most topographic maps have an arrow showing north. There may be a difference between geographic north (true north) and magnetic north, which can vary depending on the location and time.

    D. Grid: Geographic coordinates (latitude and longitude) or a UTM (Universal Transverse Mercator) grid can help you pinpoint exact locations on the map. Coordinate network: allowing to locate all the facts in latitude (angle of the vertical of a place with the plane of the Equator) and in longitude (angle formed by the plane of the Meridian of the place with that of the Meridian taken as origin).

    On the map, specification of geographic coordinates and cartographic coordinates (LAMBERT coordinates/ kilometric grid) Two (02) coordinate networks are commonly used:

    *-The best known, the geographical coordinates counted from the Equator and a Prime Meridian (most often the Greenwich Meridian). They are divided into Grades and Tenths.

    *- for some maps, the cartographic coordinates have been added which form a kilometric grid expressed in numbers increasing from west to east and from south to south. Orientation system: a map is oriented and a direction is expressed by an angle counted from the North. Three (03) North are used and shown on the maps on their right margin:

    * Cartographic North (or North Lambert) indicated by “y”

    * The geographic (or astronomical) North indicated by “N.G”

    * the magnetic North indicated by “N.M”. It is indicated by the magnetic needle and forming an angle or magnetic declination which varies with time in relation to geographic North.

    e. Legend and Scale:

    ü  Legend: This is a key part of the map that explains the symbols and colors used. Every feature (building, watercourse, forest) has a unique symbol.

     Scale: The scale, usually expressed as a ratio (e.g., 1:25,000), tells you how much the map has been reduced. A scale of 1:25,000 means that 1 cm on the map equals 250 meters in reality.

    Reduction scale: Numerical scale and graphic scale. The scale of the map is the ratio between the lengths measured on the map and their real equivalent on the ground. It is expressed by a fraction whose numerator is always the number 1 (it expresses the unit, whatever it is - mm, cm dm, m -) and the denominator a number which is the divisor of the real lengths and makes it possible to obtain the reduced lengths.

    Examples:

    - on the 1/50,000 map, the cm for example represents 50,000 cm on the ground, i.e. 500m

    - on the 1/200,000 map, the cm = 200,000 cm or 2000m, or even 2 km.

    -A map is said to be on a large scale when the reduction it allows is small (ex: 1/50,000.1/25,000) and therefore the denominator is small-On the other hand, it is on a small scale when the reduction is large (ex: 1/500,000, 1/1,000,000), and therefore the denominator is large.

    -The scale is indicated at the bottom of the map, and is expressed by the fraction (numerical scale) and by a graphic scale divided into km for the right part, in hm for the left part or heel.

    The scales most commonly used vary according to the country and according to the purpose to which the map must respond; also, once the goal is defined, it is necessary to decide on the content of the map and therefore on the best scale so that the characteristics necessary for a general inventory of a territory can be represented.

    - Establishing topographic maps at different scales serves different purposes.

    Maps at 1/50,000 are the most used but when you want more detail, we use 1/25,000 and when you want to see a wider view, maps at 1/100,000 or 1/200,000 are more appropriate.

    * The choice of map scale depends on:

    The small scale shows the largest elements belonging to the physical environment (i.e. for a physical study, the choice of the small scale is essential).

    On the other hand, for a study of the organization of space, only the large scale gives information with sufficient detail and greater precision in the location of the latter.

    From the small to the large scale, the characteristics of the physical environment fade to the detriment of those of the organization of space, the great detail gives way to a multitude of details which bring out more the action of man. on its middle.

    *The arable land is left blank and the best document to consult to find out about this point is aerial photos

    g. Source: designating by which service or organization the card was established.

    h.  Date: date of creation of the map

    2. CLASSIFICATION DES CARTES

    "Il existe plusieurs types de classification. Celle retenue ici repose sur la notion de contenu des cartes et retient la distinction entre cartes topographiques et cartes thématiques.

    2.1. les cartes topographiques sont celles sur lesquelles figurent essentiellement les résultats d’observations directes concernant la position en longitude et en latitude, la position altimétrique, la forme, l dimension et l’identification des phénomènes concrets permanents existant à la surface du sol.. Les cartes topographiques sont établies sur la base de conventions, identiques pour l’ensemble des cartes et à des échelles bien précises.

    Définition du Comité Français de Cartographie : " une carte topographique est une représentation exacte et détaillée de la surface terrestre, concernant la position, la forme, les dimensions et l’identification des accidents du terrain, ainsi que des objets qui s’y trouvent en permanence.

    Le but de ces cartes est essentiellement pratique. La nécessité d’y retrouver tous les éléments visibles du paysage, et de pouvoir y effectuer des mesures de directions, de distances, de dénivellations et de surfaces, exige une échelle appropriée.

             Pour les cartes topographiques, les échelles sont arrêtées :

    - Les cartes à grande échelle (de 1/10 000 à 1/25 000),

    - Les cartes à moyenne échelle (de 1/50 000 à 1/100 000), - Les cartes à petite échelle (au 1/200 000).

    Pour les cartes à des échelles supérieures (1/1 000, 1/2 000, 1/5 000), on parlera de plans et pour les cartes à des échelles inférieures (1/250 000, 1/500 000, 1/1 000 000, ), on emploiera le terme de cartes générales." licence fondamentale en géographie (FSHS

    2.2. Les cartes thématiques : représentent sur un fond repère un thème particulier. Il existe une infinité de cartes thématiques et deux cartes traitant du même thème peuvent être très différentes d’un point de vue graphique. Il n’existe pas de conventions régissant les représentations thématiques, mais uniquement des outils graphiques permettant de faire passer au mieux un message. De même, il existe une infinité d’échelles.

    La notion de carte thématique est récente et date des années 1950.

    3.Map Creation Process:

    Creating a map involves several stages, as outlined in the Fundamental License in Geography curriculum from the Faculty of Humanities and Social Sciences (FSHS). The process begins with Topographic Surveying, where all landscape features are cataloged according to precise latitude, longitude, and altitude coordinates. Methods for this step include ground surveying, setting up a geodetic network, and interpreting aerial photographs or satellite images.

    The next phase, Cartographic Representation, requires organizing and processing collected data to prepare it for presentation on a suitable medium. For instance, aerial photographs are assembled into a stereoscopic view with specialized devices and plotters to render the terrain's relief, which ultimately enables map tracing. Similarly, satellite data is transmitted directly to computerized databases for processing, much like aerial imagery.

    Finally, Cartographic Publishing standardizes the map presentation, adhering to conventions regarding orientation, symbols, colors, textures, line thicknesses, and labels to ensure clarity and consistency (FSHS).

    1.2. Processing of Statistical Data (discretization)

    Discretization, a fundamental process in the preparation of statistical data for thematic cartography, involves dividing continuous datasets into distinct classes or intervals to improve data interpretability and visual presentation. By simplifying continuous data into manageable categories, discretization facilitates meaningful comparisons across geographic regions, allowing cartographers to emphasize spatial patterns without overwhelming the map viewer with intricate data details (Slocum et al., 2008).

    Several standard methods of discretization are widely employed in cartography, each with unique implications for data interpretation. The equal interval method divides the data range into equally spaced intervals, offering simplicity but sometimes obscuring regional variability in datasets with significant outliers (Robinson & Petchenik, 1984). In contrast, quantile classification allocates an equal number of data points per interval, effectively highlighting rank or relative standing among categories but occasionally distorting differences between class values (Kraak & Ormeling, 2020). Meanwhile, natural breaks (Jenks) attempts to minimize intra-class variance by identifying natural clusters within the data, making it well-suited for datasets with pronounced gaps or clusters, such as income disparities across urban areas (Dent et al., 2009). Lastly, the standard deviation method classifies data based on statistical deviation from the mean, enhancing the detection of values significantly above or below average, which is particularly effective for datasets like income distributions where outliers are meaningful (Brewer, 2016).

    Each discretization method inherently shapes the viewer’s interpretation of spatial data patterns, as highlighted by Monmonier’s work on map design ethics, which emphasizes the responsibility of cartographers to choose classification techniques that balance clarity and representational honesty (Monmonier, 1996). Consequently, understanding the statistical and visual implications of discretization is essential for producing accurate and ethically sound thematic maps.

    1.3.   Types of Data (qualitative/quantitative data) and Graphic Semiology

    In cartography, understanding data types—qualitative and quantitative—is essential for selecting appropriate graphic semiology methods to represent spatial information effectively. Qualitative data describes categories or classes without inherent numerical value, such as land use types (e.g., residential, industrial, agricultural) or soil classifications. This type of data requires distinct visual markers like color, shape, or texture, allowing viewers to easily differentiate between categories without inferring magnitude (MacEachren, 1995). Conversely, quantitative data encompasses measurable numerical values, such as population density or elevation levels, and is often represented through proportional symbols, graduated colors, or intensity to convey magnitude and variation within the mapped region (Bertin, 1983).

    Graphic semiology, a system of visual variables developed for effective map communication, supports the accurate portrayal of both qualitative and quantitative data. Graphic variables—such as size, color, orientation, and value—play a critical role in translating data into visual forms that the viewer can intuitively interpret. For example, size can represent quantity in quantitative maps, making it a suitable choice for population symbols, while color and texture are often employed in qualitative maps to differentiate distinct categories like vegetation types or political regions (Brewer, 2016). Properly matched graphic semiology to data type ensures not only readability but also enhances the viewer's capacity to interpret spatial relationships and patterns, a core objective of thematic cartography (Tyner, 2010).

    The field’s commitment to accurately conveying geographic information through semiology underscores the need for cartographers to understand the subtleties of both data types and the visual tools at their disposal. As Bertin’s foundational work in graphic semiology emphasizes, effective map design hinges on an understanding of how visual variables can best represent various data structures, fostering maps that are both informative and visually engaging (Bertin, 1983).

    Bertin, J. (1983). Semiology of Graphics: Diagrams, Networks, Maps. University of Wisconsin Press.

    Brewer, C. A. (2016). Designing Better Maps: A Guide for GIS Users. Esri Press.

    MacEachren, A. M. (1995). How Maps Work: Representation, Visualization, and Design. Guilford Press.

    Tyner, J. A. (2010). Principles of Map Design. Guilford Press.



    • session02

      1.4.   Concept of Geodesy

      1.5.   Shape of the Earth

      1.6.   Coordinate Systems

      1.4.Geodetic Systems

      Any measurement of position on Earth is made relative to imaginary lines: longitude and latitude. A geodetic system defines the precise locations of these lines on Earth. If the Earth were homogeneous and stationary, its surface would be a perfectly spherical gravity equipotential. However, due to its rotation, Earth’s surface is an ellipsoid flattened at both poles. By disregarding surface irregularities, a reference ellipsoid can be mathematically defined, characterized by the length of its semi-major axis and the ratio of the major axis to the minor axis.

      Throughout time, various ellipsoids with different characteristics have been used by national cartographic agencies. Each national or international geodetic network is established from a fundamental point where, theoretically, the two surfaces—the geoid and the reference ellipsoid—are tangent to each other at that location.

      Example: The Hayford Ellipsoid (1909)

      • Semi-major axis: a=6,378,388 ma = 6,378,388 \, \text{m}a=6,378,388m
      • Semi-minor axis: b=6,356,912 mb = 6,356,912 \, \text{m}b=6,356,912m
      • Flattening: (a−b)/a=1/297(a - b) / a = 1/297(a−b)/a=1/297
      • Meridional circumference: 40,008.4 km
      • Equatorial circumference: 40,075.9 km

       

      With the advent of GPS, a globally valid geodetic system was developed: the WGS 84 ellipsoid (World Geodetic System of 1984). Two main families of geodetic systems can be distinguished.

      4.1.  Local Systems:

      • Inherited from past methods of determination
      • Cover a specific region or country
      • Generally less precise
      • Often no longer maintained

      4.2. Global Systems:

      • More recent and precise
      • Planet-wide coverage, usually based on spatial measurements

      There are several ellipsoids in use, the most common being:

      • Clarke 1866
      • Clarke 1880 (English)
      • Clarke 1880 (IGN)
      • Bessel
      • Airy
      • Hayford 1909
      • International 1924
      • WGS 66
      • International 1967
      • WGS 72
      • IAG-GRS80


      1.5.   Shape of the Earth

      The Earth: Sphere
      A sphere is based on a circle. Assuming that the Earth is a sphere is suitable for small-scale maps (with a scale less than 1:5,000,000).

      The Earth: Ellipsoid of Revolution
      This mathematical surface approximates the shape of the Earth, ignoring terrain variations. An ellipse is defined by two radii: the longer radius, known as the semi-major axis, and the shorter radius, known as the semi-minor axis.

      The Earth: Geoid
      The geoid is an equipotential gravitational surface. It represents the level of the oceans if they were at rest (with no waves, tides, or currents) and undisturbed by differences in atmospheric pressure or water density. Unlike the ellipsoid, it is not defined by a mathematical function but is observed point by point. The geoid's surface is irregular and does not coincide with the ellipsoid of revolution, with differences up to a maximum of 100 meters.

             1.6. . Geographic Coordinate System

      The geographic coordinate system utilizes a three-dimensional spherical surface to define locations on Earth. It consists of a network of orthogonal lines that allow for the localization of any point on the Earth's surface:

       Parallels:

      Parallels are circular lines that run parallel to the equator. They measure latitude and are used to indicate the north or south position of a point relative to the equator. The equator itself is the reference parallel at 0° latitude, while parallels above the equator are considered northern latitude (N), and those below are southern latitude (S).

       Meridians:

      Meridians are lines that form great circles passing through both poles of the Earth. On the spherical Earth, meridians are depicted as circles that connect the North Pole to the South Pole. On an ellipsoid, these lines are ellipses that also intersect at the poles. Meridians measure longitude and indicate the east or west position of a point relative to the reference meridian, which is the Prime Meridian at 0° longitude.

       Using this coordinate system, each point on the Earth's surface can be described by a pair of values: latitude (north or south position) and longitude (east or west position). This system is essential for navigation, cartography, and various geospatial applications.





      • Session3

          1.7.   Cartographic Projections

        1.8  Sources of Acquisition and Modes of Representation of Geographic Information

        1.9  Geographic Information


        • TP02: mode de representation

          2. Modes of Representation:

          2.1.   Raster Format (Acquisition of base maps)

          2.1.1.                                   Base maps

          2.1.2.                                   Aerial photographs

          2.1.3.                                   Satellite images

          2.1.4.                                   Scanned plans (Cadastral plans, etc.)

          2.2.   Vector Format:
          CAD/DAI and vectors from various GIS software (ArcGIS, MapInfo, QGIS, etc.)

          Representation Modes in a Geographic Information System (GIS)

          There are two fundamental approaches to representing geographic space in a Geographic Information System: raster mode and vector mode. These two modes are complementary and enable the creation of high-quality models.

          1) Raster Mode

          The raster mode corresponds to a regular division of the studied space into square rectangular cells (pixels). It is closely linked to the concept of images, with satellite images serving as a prime example.

          • Cell Structure: Each pixel is referenced by its row and column position and contains a value corresponding to a numerical measurement (e.g., water level, permeability, nitrate content) or alphanumeric data (in this case, a code representing a descriptive attribute).
          • Resolution: The resolution of a raster GIS (the size occupied by a pixel on the ground) reflects the smallest objects that can be identified. This mode of representation is well-suited for performing calculations between pixels of the same dimensions that have the same coordinates and belong to different layers in the GIS. For instance, it can be used to create a vulnerability map of an aquifer developed from various information layers related to soil, recharge, and the unsaturated zone of the aquifer.

          Advantages:

          • Ideal for complex spatial analyses where pixel-based operations are required.

          Disadvantages:

          • Requires large volumes of storage for data, which can significantly slow down manipulation on PCs. However, file sizes can be greatly reduced using compression methods.

          2) Vector Mode

          The vector mode allows for the representation of objects in a continuous (non-discretized) space. In this structure, objects and their boundaries are precisely located within a geographic or Cartesian reference system.

          • Basic Forms: The representation of objects takes three basic forms:
            • Points (e.g., wells, boreholes, pollution sources)
            • Polylines (e.g., hydrographic networks, road networks)
            • Polygons (e.g., surface of geological formations, aquifers, irrigated perimeters)
          • Coordinate Systems: The reference used to locate objects can be geographic (longitude, latitude) or Cartesian (e.g., Lambert system). A point is designated by its coordinates, while a continuous line is approximated by a broken line (a series of points identified by their coordinates).

          Advantages:

          • Allows for a representation that is more faithful to reality. The GIS consists of the superposition, visualization, and printing of all existing objects (e.g., hydrographic and road networks, contour lines, geological layer boundaries, locations of groundwater structures). The final output documents are generally of high quality and can be produced at the desired scale.

          Disadvantages:

          • Does not facilitate numerical calculations between different GIS information layers. Intersecting different layers can be challenging, as it requires complex algorithms and a perfect typology. Errors such as improperly closed polygons or duplicated arcs (e.g., boundaries between two geological layers) frequently occur, are difficult to detect, and can compromise the integrity of the processed layer.

          Conclusion

          Both raster and vector modes are essential for representing geographic information in a GIS. The choice between them depends on the specific requirements of the analysis, the nature of the data being handled, and the desired output quality.

          3) Combination of Vector and Raster Modes

          Far from being oppositional, the two representation modes (vector and raster) in a Geographic Information System (GIS) complement each other in their utility for representing and modeling the real world. Each mode has its strengths, and their combined use can enhance the analysis and visualization capabilities of GIS.

          Integration of Vector and Raster Data

          • Data Management Systems: While all GIS systems incorporate a database management system, some are designed exclusively to handle raster data, while others focus solely on vector data. However, many modern GIS platforms can accommodate both types of data.
          • Conversion Algorithms: The latest generation of GIS software available in the market features algorithms for converting between vector and raster formats (e.g., ArcView). This ability allows users to leverage the advantages of both modes depending on the requirements of their analysis.

          Advantages of Combining Modes

          1. Enhanced Flexibility: By using both vector and raster data, GIS can model complex phenomena more effectively. For example, raster data can provide detailed continuous surface information (like elevation or temperature), while vector data can represent discrete features (like roads or political boundaries).
          2. Improved Analysis: The integration of both modes enables more sophisticated analyses. For instance, a vulnerability assessment might use raster data to evaluate environmental conditions while using vector data to delineate specific land parcels or infrastructure.
          3. Better Visualization: Combining vector and raster data allows for richer visual representations. For example, a map can show raster-based terrain data (like hillshade or slope) along with vector-based features (such as roads or property lines), providing a more comprehensive view of the landscape.
          4. Informed Decision-Making: The ability to work with both types of data enhances decision-making capabilities. Planners can assess various scenarios by overlaying different datasets, leading to more informed choices in urban planning, resource management, and environmental protection.

           


          • TP03:Forma alphanumeric session1

            session01

            Forma alphanumeric : When something is made of both letters and numbers, it is alphanumeric.

            Entering Alphanumeric Data in ArcGIS
            Alphanumeric entry allows for the updating of data. We will use the ArcCatalog and ArcMap modules for the alphanumeric data entry.

            From ArcCatalog, you can modify attribute tables, define feature classes, and organize data:

            Adding a Field: Click on the file you want to modify, then preview, table, options, and add a field. You then fill in the name, type, and length of the new field

            Removing a Field: Right-click on the header of the field you want to delete, and select delete.

            Organizing Data: Sort the data in ascending or descending order, or perform statistical calculations.

            From ArcMap, we perform data editing and updating:

            You can add and remove fields from ArcMap: Right-click on the file and open its attribute table. This works as long as you have not opened an edit session and the file is open in only one module.

            The modification of records in the data tables is done using the ArcMap module. First, you need to start an edit session. In the Tools tab, launch the Editor toolbar, then in Editor, start an edit session and select the file to be updated.

            Next, right-click on the file to be updated (here, Bativourles), open the attribute table, and modify the desired data.

            Calculating Field Values:
            From the attribute table of a file, you can calculate the values of a field using an arithmetic expression. Right-click on the header of a field and select "Calculate Values."



            • Session02

              Session 02: Create a database in Excel

              Steps to create a database in Excel

              1.    Create a data spreadsheet

              2.     Add or import data

              3. Convert your data into a table


              4   Customize the table design and assign a name









              5.  Interact with the data


              Support of  Practical work( TP)

               Video in English:

              Video in Arabic:





              • Session0 2: Create a database in accesse

                session02

                Introduction

                Whenever you're learning a new program, it's important to familiarize yourself with the program window and the tools within it. Working with Access is no different. Knowing your way around the Access environment will make learning and using Access much easier.

                In this lesson, you will familiarize yourself with the Access environment, including the RibbonBackstage view, Navigation paneDocument Tabs bar, and more. You will also learn how to navigate with a navigation form, if your database includes one.

                Throughout this tutorial, we will be using a sample database.

                https://edu.gcfglobal.org/en/access2016/getting-started-in-access/1/

                When you open the Tasks Sample database, you can see the user interface for Access 2010.

                Video in englishe

                .

                Video in Arabic: https://www.google.com/search?q=create+a+database+access+arabic&sca_esv=0a9855b1adeae542&rlz=1C1VDKB_frDZ1077DZ1077&tbm=vid&sxsrf=ADLYWIIKSGZRyXo5pH_K3LMqdbD2Q2m7GQ:1730237729330&ei=IVUhZ4TyE6u5i-gPgqW0yAE&start=40&sa=N&ved=2ahUKEwjEhu_pxbSJAxWr3AIHHYISDRk4HhDy0wN6BAgPEAs&biw=1366&bih=633&dpr=1#fpstate=ive&vld=cid:1ad084b2,vid:N-0pDeqYw_Q,st:0

                 

                Creation of database in arc gis: