JP2007322370A - Map display device - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a map display device capable of displaying a plurality of landmarks with high visibility and easily identifying the landmark desired by the user. <P>SOLUTION: An input part 103 receives the input of an instruction from the user, and a map data storage part 101 stores map data containing landmark positional information and an attribute value of each of the landmarks for a plurality of attributes. A multiplicity calculating part 106 classifies the landmarks into a plurality of groups, according to the attribute value for at least one or more attributes and calculates multiplicity among areas containing the respective groups. A selected attribute determining part 107 selects the attribute with the minimum multiplicity, calculated by the multiplicity calculating part from among at least one or more attributes. A display part 104 displays a map based on the map data. A drawing part 108 displays each area on the map for the attributes selected by the selective attribute determining part. <P>COPYRIGHT: (C)2008,JPO&INPIT

Description

  The present invention relates to a map display device, and more particularly to a map display device that displays a plurality of landmarks according to their attributes.

  2. Description of the Related Art In recent years, map display devices that store location information of landmarks such as facilities and sights and related information together with map information on HDDs and DVDs and display icons and names indicating landmarks on maps are widely used. ing. In such a map display device, a genre of a landmark to be displayed on a map is set in advance by the user, and only the landmark icon of the genre set by the user among the landmarks existing in the map range is displayed on the screen. To display. According to such a map display device, the user can display only the landmarks of the genre he desires and can prevent the display of uninteresting and unnecessary landmarks, thereby improving the visibility of the map. Can be made. By using such a map display device, for example, when a user selects a desired landmark from among landmark icons displayed on the map, the route to the selected landmark is guided by the map display device. become.

However, in such a map display device, when a plurality of landmarks are present close to each other, the respective icons are displayed in an overlapping manner. In particular, when there are many landmarks at close positions, the user cannot visually recognize what kind of landmark is present at that position. On the other hand, a navigation device that reduces the number of icons displayed on a map and makes it easy to see a road has been proposed (Patent Document 1). The navigation device of Patent Document 1 combines icons that are displayed together into one icon, and generates and displays a multiple icon indicating that there are a plurality of icons there. As a result, Patent Document 1 prevents the icons from being overlapped and makes the display easier to see, and allows the user to know information about the landmarks present at the place by selecting multiple icons.
JP 2002-340588 A

  However, the navigation device of Patent Document 1 prevents the icons from being displayed in an overlapping manner, but the user cannot determine what landmarks are present just by looking at the multiple icons. In addition, the navigation device of Patent Document 1 displays a large number of landmark icons and multiple icons on the map when the number of landmarks present in the map range is very large, so that the desired landmark is poor in visibility. It was difficult to look for.

  By the way, the landmark icon displayed on the map has a different design for each genre such as a restaurant, a convenience store, or a bank. Therefore, the user can easily recognize whether the landmark is a desired genre by looking at the icon design. However, even if the genre is the same, the features vary from landmark to landmark. For example, if the genre is a restaurant, each landmark has various attribute values for each attribute such as the type of dish, the store size, the average budget, and the atmosphere. For this reason, the conventional map display device and the navigation device disclosed in Patent Document 1 specify a landmark of a genre desired by the user, set a destination, and even if the user goes to that location, the landmark is always satisfactory for the user. In some cases, an appropriate landmark cannot be specified. In particular, there are many cases where the user can understand the atmosphere of a store only when the user actually sees the landmark. For this reason, as a result of the user actually seeing the landmark, it is not satisfactory, and when searching for another landmark, if the landmark exists in a place away from each other, the cost for moving (for example, time and fuel) is increased. This increases the burden on the user.

  Accordingly, the present invention has been made to solve such a problem, and provides a map display device capable of displaying a plurality of landmarks with high visibility and easily identifying a landmark desired by a user. It is in.

  The object of the present invention is achieved by a map display device having the following configuration. The map display device includes an input unit that receives an instruction input from a user, map data including landmark position information, a map data storage unit that stores attribute values for each landmark, and at least one or more attributes Each of the landmarks is classified into a plurality of groups according to the attribute value, and a redundancy calculation unit that calculates the overlap between each area including each group, and the redundancy calculation among at least one attribute A selection attribute determination unit that selects an attribute with the smallest degree of duplication calculated by the unit, a display unit that displays a map based on map data, and an attribute selected by the selection attribute determination unit on each area as a map A drawing processing unit to be displayed.

  According to the present invention, it is possible to provide a map display device that can display a plurality of landmarks with high visibility and easily identify a landmark desired by a user.

(Embodiment)
The map display device of the present embodiment will be described in detail with reference to the drawings. In the present embodiment, a case where the map display device is applied to a navigation device installed in an automobile will be described as an example.

  FIG. 1 is a block diagram showing the configuration of the map display device of the present embodiment. In FIG. 1, the map display device includes a map data storage unit 101, a positioning unit 102, an input unit 103, a display unit 104, and a control unit 105. The control unit 105 includes a duplication degree calculation unit 106, a selection attribute determination unit 107, and a drawing processing unit 108.

  The map data storage unit 101 is, for example, an HDD or a DVD that stores map information. The map information includes information on road networks such as roads and intersections and information on landmarks. 2A and 2B show information about the road network stored in the map data storage unit 101, FIG. 2A shows node data, and FIG. 2B shows link data. The node data is data representing a point where the road branches in several directions, such as an intersection or a junction on the road, and is composed of a node ID, an attribute, and its value. As shown in FIG. 2A, the attributes of the node data include latitude and longitude, the number of connection links described later, and a connection link ID. On the other hand, link data is data representing a road connecting nodes, and is composed of a link ID, an attribute, and its value. As shown in FIG. 2 (B), the link data attributes include start and end nodes that are link end points, link length (units are meters, kilometers, etc.), link width (units are meters, etc.), and general Includes road types such as roads and highways.

  3A and 3B show information about landmarks stored in the map data storage unit 101, FIG. 3A shows landmark position data, and FIG. 3B shows attribute data. The landmark position data is composed of a landmark genre, facility name, adjacent node ID, and landmark position information. On the other hand, the attribute data stores the attribute value for each landmark with respect to the attribute representing the feature of each landmark. The landmark attributes include, for example, “store size”, “average price”, “sub-genre”, “popularity”, and the like. If the attribute is “store size”, the attribute value is “large store”, “medium store”, “small store”, etc. If the attribute is “average price”, the attribute value is “1000” "Less than yen", "1000 yen or more and less than 2000 yen", "2000 yen or more and less than 3000 yen", "3000 yen or more and less than 5000 yen", "5000 yen or more", and the like. Further, when the attribute is “sub-genre”, the attribute value is “Japanese food”, “Western food”, “Chinese food” or the like. In addition, said attribute and attribute value are examples, and are not restricted to these. Further, the above-described attributes and attribute values have been described in the case where the genre of the landmark is a restaurant. However, since the attributes and attribute values differ depending on the genre, appropriate attributes are set for each genre.

  Returning to the block diagram of FIG. The positioning unit 102 is attached to a vehicle in which a navigation device is installed, and measures the current position, speed, direction, and current time of the vehicle. , Acceleration sensors and the like. Here, the GNSS receiver is, for example, a GPS receiver, receives radio waves from a plurality of satellites, and demodulates the received radio waves to measure the absolute position of the receiver. The positioning of the current position, speed, and direction is performed using a GNSS receiver and various sensors alone or in combination.

  The input unit 103 is, for example, a touch panel, a remote controller, or the like that accepts an instruction input from a user, for example, a predetermined number of push switches. The input unit 103 may recognize the voice of the user and convert the voice information into input information to the map display device. In such a case, the input unit 103 includes a microphone and a voice recognition engine. From the input unit 103, the user inputs information about a predetermined time and information indicating the center position where the route search is performed.

  The display unit 104 is, for example, a liquid crystal display or an organic EL display that displays an image based on the image data created by the control unit 105. The display unit 104 may be a touch panel configured integrally with the input unit 103.

  The control unit 105 is, for example, a CPU that performs processing for displaying map information on the display unit 104 with reference to information output from the map data storage unit 101, the positioning unit 102, and the input unit 103. The control unit 105 includes a duplication degree calculation unit 106, a selection attribute determination unit 107, and a drawing processing unit 108.

  The overlapping degree calculating unit 106 classifies the landmarks for each attribute into a plurality of groups according to the attribute value, and calculates the degree of overlapping in display between the areas including each group (hereinafter referred to as the overlapping degree). To do. Here, the redundancy calculation processing by the redundancy calculation unit 106 will be specifically described. In the following description, an example in which the user sets the landmark icon belonging to the genre “restaurant” among the landmarks stored in the map data storage unit 101 to be displayed on the map display device will be described. To do. FIG. 4 is an example of a display screen when a landmark belonging to the genre “restaurant” is displayed. In a map display device, information obtained by a user looking at an icon is usually only information related to a genre or a store name. This is because, when information related to more detailed attributes and attribute values related to the store is displayed together, the visibility deteriorates as the number of landmarks increases.

  First, the duplication degree calculation unit 106 classifies landmarks into a plurality of groups according to attribute values. That is, the overlap calculation unit 106 refers to the landmark position data in FIG. 3A, and each landmark stored in the map data storage unit 101 exists within the range of the map displayed on the display unit 104. Whether or not to do so is determined, and landmarks within the map range are extracted from the attribute data shown in FIG. Subsequently, the duplication degree calculation unit 106 classifies the extracted landmarks into a plurality of groups according to the attribute values. Such landmark grouping is performed for each attribute. For example, when there are landmarks having attribute values Va, Vb, and Vc for attribute 1, each landmark is classified into three types of groups. For example, when there are landmarks having attribute values of Vd, Ve, and Vf with respect to attribute 2, each landmark is classified into three types of groups. Next, the duplication degree calculation unit 106 calculates an area (area) where a landmark exists for each group. FIG. 5 shows a case where the landmarks shown in FIG. 4 are classified into groups and displayed in an area. In FIG. 5, for the sake of convenience, each landmark is represented in a different shape for each attribute value (for each group). As shown in FIG. 5, the duplication degree calculation unit 106 selects a region Ava where the landmark having the attribute value Va exists, a region Abb where the landmark having the attribute value Vb is present, and a region Avc where the landmark having the attribute value Vc is present. calculate. In addition, the duplication degree calculation unit 106 similarly calculates areas Avd, Ave, and Avf for attribute 2.

  Next, the overlapping degree calculation unit 106 calculates the overlapping degree between the areas. Here, the degree of overlap refers to the degree to which the respective areas are displayed overlapping each other on the display unit 104, and is expressed as a percentage as an example in the present embodiment. In FIG. 5, the duplication degree calculation unit 106 calculates the number of landmarks of the attribute values Vb and Vc existing in the area Ava, and the ratio of these numbers to the total number of landmarks of the attribute value Va is the duplication of the attribute value Va. Degree. Similarly, the duplication degree of the attribute values Vb and Vc is calculated, and the average value or the maximum value thereof is output as the duplication degree of the attribute 1. Note that the degree of overlap is not only calculated based on the number of landmarks, but may be calculated based on, for example, overlapping areas. Alternatively, the method is not limited to this as long as it is a method for rationally calculating the overlap on display. Further, FIG. 5 illustrates an example in which the duplication degree is calculated for attribute 1 and attribute 2, but the duplication degree calculation unit 106 performs duplication for all the attributes stored in the attribute data illustrated in FIG. A process for calculating the degree is performed.

  The selection attribute determination unit 107 selects an attribute having a minimum redundancy value from among the attributes whose redundancy level is calculated by the redundancy level calculation unit 106. Information indicating the selected attribute is output to the drawing processing unit 108. For example, in FIG. 5, when the classification by attribute 1 is compared with the classification by attribute 2, the degree of overlap is smaller when the classification is by attribute 2. Therefore, the selection attribute determination unit 107 compares the duplication degrees output from the duplication degree calculation unit 106 and outputs information related to the attribute 2 having a small duplication degree to the drawing processing unit 108.

  The rendering processing unit 108 creates area display image data by classifying the landmarks into a plurality of groups according to the attribute values for the attributes output by the sorting attribute determining unit 107. FIG. 6 is an example of a display screen when the area selected for the attribute selected by the selection attribute determining unit 107 is displayed. In FIG. 6, the attribute selected by the selection attribute determination unit 107 is “store size”, and each landmark is classified into groups of attribute values “large store”, “medium store”, and “small store”. The example which displayed the area on the display part 104 is shown. In this way, by performing area display, the user can easily grasp what attribute value stores are concentrated in which area on the map. In particular, when searching for a desired landmark based on information that the user does not know unless he / she actually sees it, such as the atmosphere of the landmark, or when getting off the vehicle where the map display device is installed, When searching, the search range can be limited, which is highly convenient.

  As shown in FIG. 6, the display unit 104 may display not only the area display but also attributes other than the attributes selected by the selection attribute determination unit 107 and the degree of overlap. The user can select these attributes via the input unit 103. When an attribute other than the attribute selected by the selection attribute determination unit 107 is selected, the display unit 104 displays an area for the attribute selected by the user. This is because the presented attribute may be less important for the user in determining the landmark. For example, when the attribute selected by the selection attribute determination unit 107 is “store size”, even if the area display is performed for the attribute, the user can select the attribute “sub” having attribute values such as “Japanese food” and “Western food”. The attribute “average price” having attribute values such as “genre”, “less than 1000 yen”, and “5000 yen or more” may be important in determining the destination. Therefore, by enabling area display for attributes other than the attributes selected by the selection attribute determining unit 107, a highly flexible and user-friendly map display device can be provided.

  Next, processing of the map display device configured as described above will be described with reference to the flowchart of FIG. First, in step S <b> 101, it is determined whether or not the user inputs a classification instruction via the input unit 103 for the landmark displayed on the display unit 104. If it is determined that a classification instruction has been input, the process proceeds to step S102.

  In step S <b> 102, the degree of duplication is calculated by the degree of duplication calculation unit 106. That is, the overlapping degree calculation unit 106 classifies each landmark into a plurality of groups according to the attribute value for each attribute, and calculates the overlapping degree between the areas including each group. Subsequently, in step S103, the selection attribute determination unit 107 selects an attribute having a minimum overlap value. In step S104, the drawing processing unit 108 classifies the landmarks into a plurality of groups according to the attribute values for the attributes selected by the selection attribute determination unit 107 and creates area display image data. The display unit 104 displays the attribute and the overlapping degree that did not exist.

  Here, an example of the area display process in step S104 will be described with reference to the flowchart of FIG. Consider a case where the landmark icons are arranged as shown in FIG. First, in step S201, the drawing processing unit 108 divides the map displayed on the display unit 104 into a mesh shape. FIG. 9B shows an example of a display screen divided into meshes. Next, step S202 performs a process of extracting the mesh to which the landmark icon belongs among all the meshes. FIG. 10 is a diagram for specifically explaining the mesh extraction process, and is an enlarged view of a part of the map shown in FIG. 9B. In FIG. 10, each mesh is numbered from mesh 1 to mesh 4 for convenience. With respect to such a mesh, when a landmark icon is drawn on the mesh 2 as shown in FIG. 10A, it is determined that the landmark icon belongs to the mesh 2. For example, when the landmark icon is drawn across the mesh 1 and the mesh 3 as shown in FIG. 10B, the area belonging to the mesh 1 is larger than the area belonging to the mesh 3. Therefore, it is determined that it belongs to the mesh 1. Such a determination process is performed for all landmarks to be grouped. In this manner, the mesh to which the landmark icon belongs is extracted from all the meshes by the process of step S202.

  When the process of extracting the mesh is completed, the drawing processing unit 108 draws the extracted mesh separately from other meshes. FIG. 11A shows an example in which the extracted mesh is drawn with vertical lines. Subsequently, in step S203, the drawing processing unit 108 performs expansion / contraction processing until a predetermined condition is satisfied. Here, the expansion / contraction process is a known technique used to remove noise in the image processing technique. The dilation process is a process of setting a pixel value of a pixel to 1 if there is even one pixel value 1 (white) in the vicinity of a certain pixel (for example, the vicinity of 4 or 8) for a binary image. On the other hand, the contraction process is a process for setting a pixel value of a pixel to 0 if there is even one pixel value near a certain pixel. In general, the image processing technique draws discrete pixels as a set having a certain unit by repeating these expansion / contraction processes several times. For example, in FIG. 11A, considering a case of a binary image in which the pixel value of the extracted mesh pixel is 1 and the pixel values of the other pixels are 0, for a mesh with a pixel value of 1 Thus, the expansion process is performed on the mesh in the vicinity of the surrounding 4. FIG. 11B shows an example in which an expansion process is performed on FIG. In FIG. 11B, the mesh whose pixel value has changed from 0 to 1 after the expansion processing is drawn with hatching. On the other hand, the contraction process is a process opposite to the above expansion process, and is performed discretely by performing these processes until a predetermined condition is satisfied (for example, the expansion process is performed three times and the subsequent contraction process is performed three times). The displayed grouped landmark icons can be drawn as a group (area). Thus, the area display process ends.

  Returning to the flowchart of FIG. As shown in FIG. 6, in step S <b> 104, each area, an attribute other than the attribute selected by the selection attribute determination unit 107, and the degree of overlap are displayed on the display unit 104. In step S <b> 105, it is determined whether the user who has viewed the display unit 104 has selected an area (that is, an attribute value) via the input unit 103. When the area is selected, the process proceeds to step S106, and it is determined whether or not the selected area satisfies the end condition. Note that the termination condition includes, for example, a case where the area selected in step S105 is smaller than a predetermined area, or a case where the number of landmarks existing in the selected area is smaller than a predetermined number. Here, the reason for setting the termination condition is that the area area is wide only by selecting the area (attribute value) only once, and the number of landmarks existing in the area may be very large. In such a case, it is difficult to search after arriving around the landmark. When the selected area satisfies the end condition, the display unit 104 displays a detailed map for the selected area. FIG. 12 is a display example of a detailed store map of the selected area. On the other hand, if the end condition is not satisfied, the processes in and after step S102 are performed again for the selected area.

  In step S106, when the area selected by the user does not satisfy the end condition, the overlapping degree is calculated again for the selected area and the area is displayed (steps S102 to S106), but is not limited thereto. . For example, when the area selected by the user does not satisfy the end condition, a desired attribute may be further selected by the user. For example, when the area of the attribute value “small store” selected by the user in FIG. 6 does not satisfy the termination condition, the attribute value “small store” is displayed on the display unit 104 as shown in the display screen example of FIG. ”Area enlarged display, attributes other than“ store size ”, and the degree of overlap are displayed. This is because the area has already been narrowed to some extent by the attribute “store size”, so if there is no need to narrow the area further, the user can select the attribute that is important regardless of the degree of duplication, or refer to the degree of duplication This is because it is possible to select an attribute having as little overlap as possible. In FIG. 13, for example, when the user selects the attribute “sub-genre”, the drawing processing unit 108 responds to the landmark having the attribute value “small store” and the attribute “sub-genre” according to the attribute value as shown in FIG. (For example, the attribute values “Japanese food” and “Western food” are grouped), and the area is displayed. When the user selects an area displayed on the display unit 104 (step S105), it is determined whether or not the selected area satisfies an end condition (step S106). When the processing conditions are satisfied, a detailed store map of the area is displayed on the display unit 104. In this way, the processes in steps S102 to S107 are repeated until the selected area satisfies the end condition.

  In step S105 of the flowchart of FIG. 7, if the user does not select an area, the process proceeds to step S107. That is, it is determined whether the user has selected an attribute other than the attribute selected by the selection attribute determination unit 107 via the input unit 103. When the user selects an attribute other than the attribute selected by the selection attribute determining unit 107, the process returns to step S104 again, and area display is performed for the selected attribute. On the other hand, if no attribute is selected by the user in step S107, the process of the map display device ends.

  As described above, the map display device according to the present embodiment classifies landmarks into groups according to attribute values for each attribute, and displays an area including each group. Thus, the user can easily grasp what attribute value landmarks are concentrated in which place on the map, and therefore, the burden on determining a desired landmark can be reduced. In addition, since the map display device according to the present embodiment displays an area, many landmark icons are not displayed so as to fill the screen, and the visibility is high.

  Further, the map display device according to the present embodiment performs area display for the attribute having the smallest degree of overlap between the areas. This makes it possible to easily grasp an area where landmarks having desired attribute values are dense and where there are no landmarks having other attribute values, and the landmark desired by the user from a plurality of landmarks. Can be easily identified.

  In the present embodiment, the degree-of-duplication calculation unit 106 calculates the degree of redundancy for each attribute, but the present invention is not limited to this. The duplication degree calculation unit 106 may calculate the duplication degree by combining a plurality of attributes. For example, in FIG. 5, there are three attribute values for attribute 1 and three attribute values for attribute 2. Therefore, when attribute 1 and attribute 2 are combined, there are nine possible attribute values. Therefore, the redundancy calculation unit 106 may classify each landmark into these nine groups. When multiple attributes are combined in this way, the number of groups increases, but by combining attributes rather than single attributes, each landmark can be classified into subdivided groups, reducing duplication. Is possible.

  In the present embodiment, the selection attribute determination unit 107 selects an attribute having a minimum redundancy value from among the attributes whose redundancy values are calculated by the redundancy calculation unit 106. However, the present invention is not limited to this. The minimum value of the degree of overlap may be determined in advance, and the selection attribute determination unit 107 may select an attribute having the minimum degree of overlap and lower than the minimum value. For example, when the duplication degree is calculated for each attribute and the duplication degree of all the attributes is not lower than the minimum value, the duplication degree calculating unit 106 calculates the duplication degree by combining a plurality of attributes as described above. Also good.

  In the present embodiment, the redundancy calculation unit 106 and the drawing processing unit 108 classify each landmark into a group corresponding to the attribute value, but the attribute values of landmarks classified into the same group are the same. Not limited to. Even when the landmark attribute values are not the same, they may be classified into the same group. For example, when the attribute value for the attribute “store size” is expressed by a numerical attribute such as “11 seats” or “19 seats”, “less than 10 seats” “10 seats or more” Grouping criteria such as “less than 20 seats”, “20 to less than 30 seats”, “30 or more seats” may be set. As an example, if the number of seats in store A is 11 and the number of seats in store B is 19, seats A and B are classified into the same group when applied to the above grouping criteria. It will be.

  In addition, although the map display apparatus which concerns on this Embodiment was provided with the map data storage part 101, it is not restricted to this. For example, a map display device including a positioning unit, an input unit, a control unit, and a display unit, and a storage unit that stores map data may be connected via a network such as a wireless or wired communication line or the Internet.

  It is suitable for a navigation device, personal computer, mobile phone, PDA, etc. that require a map display device that can display a plurality of landmarks with high visibility and easily identify a landmark desired by a user.

The block diagram which shows the structure of the map display apparatus of this Embodiment FIG. 2A shows node data and FIG. 2B shows link data, showing information about the road network stored in the map data storage unit of the present embodiment. FIG. 3A shows landmark information stored in the map data storage unit of the present embodiment, FIG. 3A shows landmark position data, and FIG. 3B shows attribute data. Example of a display screen when a landmark belonging to the genre “restaurant” is displayed in the present embodiment The figure which shows the case where the landmark is classified into each group and displayed as an area in the present embodiment Example of a display screen when the area selected for the attribute selected by the selection attribute determining unit of the present embodiment The flowchart which shows the process of the map display apparatus of this Embodiment A flowchart showing an example of area display processing in the present embodiment FIG. 9A is a diagram in which each landmark icon is arranged in the present embodiment. FIG. 9A is an example of a display screen, and FIG. 9B is an example of a display screen in which a map is divided into mesh shapes. The figure which expanded a part among figures in which each landmark icon was arranged in this embodiment. FIG. 11A is a diagram in which landmark icons are arranged in the present embodiment, FIG. 11A is an example in which an extracted mesh is drawn with vertical lines, and FIG. 11B is a diagram in FIG. Example of drawing with expansion processing on In this embodiment, a detailed map display example of the area selected by the user Example of display screen in this embodiment Example of display screen in this embodiment

Explanation of symbols

DESCRIPTION OF SYMBOLS 100 Map display apparatus 101 Map data memory | storage part 102 Positioning part 103 Input part 104 Display part 105 Control part 106 Duplication degree calculation part 107 Sorting attribute determination part 108 Drawing process part

Claims (6)

An input unit for receiving an instruction from the user;
A map data storage unit storing attribute values for each landmark with respect to map data including a plurality of attributes and position information of landmarks;
For each attribute of at least one or more, the landmark is classified into a plurality of groups according to the attribute value, and a degree of overlap calculation unit that calculates the degree of overlap between the areas including each group;
A selection attribute determination unit that selects an attribute having a minimum redundancy calculated by the redundancy calculation unit from among the at least one attribute;
A display unit for displaying a map based on the map data;
A map display device comprising: a drawing processing unit that displays each of the areas on the map for the attributes selected by the selection attribute determination unit.   The map display device according to claim 1, wherein the drawing processing unit causes the display unit to further display the duplication degree calculated by the attribute and the duplication degree calculation unit. The input unit accepts an input specifying an attribute from a user;
The map display device according to claim 1, wherein the drawing processing unit displays each area on the map for the attribute input to the input unit. The input unit accepts an input specifying an area from a user;
The map display device according to claim 1, wherein the drawing processing unit enlarges the area input to the input unit and causes the display unit to display the enlarged area. The input unit accepts an input specifying an area from a user;
The drawing processing unit enlarges the area and causes the display unit to display the area when the area of the area input to the input unit or the number of landmarks included in the area is equal to or less than a predetermined value. Item 2. The map display device according to Item 1. The duplication degree calculation unit further categorizes the landmarks into a plurality of groups according to the attribute values for each of at least two or more attributes when the calculated duplication degree is larger than a preset lower limit value. And the map display apparatus of Claim 1 which calculates the duplication degree between each area including each said group.

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