Patent Publication Number: US-2022230389-A1

Title: System and process for creating a three-dimensional model of a real estate development site

Description:
CROSS REFERENCE TO RELATED APPLICATIONS 
     This application is a non-provisional application that claims priority from U.S. Provisional Application Ser. No. 63/138,730 filed on Jan. 18, 2021, the disclosure of which is hereby incorporated by reference. 
    
    
     BACKGROUND OF THE INVENTION 
     One embodiment of the invention relates to a system and a process for creating a three-dimensional model for the redevelopment of downtowns across the globe. Previously Developers and Municipalities have struggled to rapidly create models of real estate development programs so that the plans for these downtowns could be eventually viewed and approved by the appropriate Municipal Authorities. Thus, there is a need for a system and a process for creating a three-dimensional model of a real estate development program, so that Municipalities would have the benefit of simultaneously visualizing development typologies while realizing the economic, social and environmental impacts of these development scenarios. 
     SUMMARY 
     At least one embodiment comprises a system and process for creating a graphical representation of a re-development scenario. The system can perform the process of locating a region based upon a primary criteria. Next the system can then evaluate the region in its current state based upon social criteria, and then evaluate the region in its future re-developed state based upon the resulting social criteria connected with such redevelopment. Next, the system can perform the step of evaluating the region in its current state based upon environmental criteria and also perform the step of evaluating the region in its future re-developed state based upon the resulting environmental criteria connected with such redevelopment. Next, the system can perform the step of evaluating the region in its current state based upon economic criteria, and then perform the step of evaluating the region in its future re-developed state based upon the resulting economic criteria connected with such redevelopment. Finally, the system can perform the step of presenting the re-developed scenario graphically via a three-dimensional representation of the re-developed site including data associated with the social criteria, the environmental criteria, and the economic criteria. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       Other objects and features of the present invention will become apparent from the following detailed description considered in connection with the accompanying drawings which disclose at least one embodiment of the present invention. It should be understood, however, that the drawings are designed for the purpose of illustration only and not as a definition of the limits of the invention. 
       In the drawings, wherein similar reference characters denote similar elements throughout the several views: 
         FIG. 1  is a flow chart for the process for creating a three-dimensional model of a real estate development location; 
         FIG. 2  is a plan view of the three-dimensional model of the real estate development location; 
         FIG. 3  is a schematic block diagram of the computer network for the development location; 
         FIG. 4  is a schematic block diagram of the application servers shown in  FIG. 3 ; 
         FIG. 5  is a schematic block diagram of the key application servers; 
         FIG. 6  is a schematic block diagram of the different data inputs for the database servers shown in  FIG. 3 ; 
         FIG. 7A  is a diagram of the portable computing devices shown in  FIG. 3 ; 
         FIG. 7B  is a diagram of the server(s) shown in  FIG. 3 ; 
         FIG. 8  is a flow chart for the further step for evaluating and grading of a location for development; 
         FIG. 9  is a flow chart for the process for handling assets to be created and deployed on a map and for generating a map; 
         FIG. 10  is a schematic block diagram for the flow of data associated with the handling of assets associated with populating a map; 
         FIG. 11A  is a first view of a populated map; 
         FIG. 11B  is a second view of a populated map; 
         FIG. 12A  is another view of a populated map; 
         FIG. 12B  is another view of a populated map; 
         FIG. 13  is a view of a chart for social implications for development; 
         FIG. 14  is a view of a chart for the environmental implications for development; and 
         FIG. 15  is a flow of a chart for the economic implications for development. 
     
    
    
     DETAILED DESCRIPTION 
     Referring to the drawings,  FIG. 1  shows a flow chart for the process for creating a three-dimensional model of a real estate development site. This process can be performed to create a three dimensional model, a plan view of which is shown in  FIG. 2  and the process is performed using for example, the computing devices shown in  FIG. 3 . The system as described below comprises any one of the information processing application server  51 , any one of the Application servers  53 , the database servers  54 , or the additional components connected to these servers through a computer network such as the internet. The location for re-development could be as small as a building, a few buildings, a town or city block, a region comprising a few city or town blocks, a metro region or neighborhood such as a downtown, or even be used for an entire city or even larger. 
     One embodiment of a process for re-development is shown in  FIG. 1  wherein system and/or the user would identify a location and/or select a downtown, or town location for re-development. A pre-set set of search or location criteria could be used such as a downtown located adjacent to mass transit such as a train station, a bus depot, bus station, an airport or other areas of high traffic and commerce. In at least one embodiment, the system/user could operate graphically so that a user, could pre-select graphically a region for analysis and grading. Other pre-selection criteria could be based upon pre-set addresses such as metes and bounds such as street addresses, GPS locations or other boundary locations. Other designations could be based upon three to four defining points on a map such as three to four GPS coordinates. Alternatively, the location could be determined as at least one central point with either a box drawn around it or a circle having a pre-defined radius. In this instance the metes and bounds whether by address, radius or street boundaries would be also translated into GPS coordinates and stored in the database and vice versa. 
     Next, in step S 2 , once the region is located, it can be graded based upon pre-set criteria to determine whether to pursue the redevelopment of this location. This step is optional and is based upon pre-set data such as the potential of this area for improvement in at least one of three categories, such as any one of Economic, Environmental or Social improvement. The Economic, Environmental and Social improvement statistics can be based upon pre-set criteria which can be downloaded from known governmental or public databases. 
     Examples of the different criteria for Social Impact is shown in  FIG. 13  and could be any one of the following factors: Community Outreach, Social Engagement Accessibility, Access to Parks, Neighborhood Quality, Education Scores, Age Diversity, Diversity Index, Internet Access, Walk or Walkability Score, Bike Score, Bus Score, Rail Score, Housing Options, Healthcare Quality, and Healthcare Access. With respect to Community Outreach, this could be graded in the form of the ability of community leaders being able to reach their fellow citizens. With respect to Social Engagement Accessibility, this could be based upon the number of Governmental and Not for Profit Organizations available in the community, as well as festivals, events as well as regions or neighborhoods for social engagement such as the theater, libraries, number of restaurants etc. Access to parks could be based upon the number of parks in the vicinity of the community as well as the overall size of the parks and the ease at which the citizens have access to the parks such as through foot paths, bike paths, roads, and/or mass transit. With respect to the Neighborhood Quality, it could be based upon the crime statistics as well as the overall price and price trends of the housing in the area. With respect to Education Scores, this could be based upon the overall grade of the schools, which can be taken from governmental databases. With respect to Age Diversity this can be taken from overall demographic statistics such as that obtained from open governmental databases and can be graded based upon the mean and median age as well as the deviation from the mean of the community vs. the state or national averages. With respect to Diversity Index, this could be taken from the general census tracking of the racial and cultural statistics of the citizenry in the community. With respect to the internet access the bandwidth and different providers are assessed to determine the potential for internet access for the citizens of the location. With respect to the Walk or Walkability score, the community or location is analyzed for the number of foot paths or sidewalks that are available to citizens or whether there are roads that are temporarily or permanently blocked off to cars to allow people to walk through the neighborhood. With respect to Bike Score, this could be based upon the number of bike paths that are available in the location. With respect to Bus score, this is based upon the available bus routes in the location. With respect to Rail Score, this is based upon the access to rail lines that the citizens of the location have. With respect to Housing Options, this is based upon the number of different housing typologies that are available. With respect to Healthcare Quality, this is based upon the ranking and reviews of the medical centers such as hospitals and clinics that serve the community. With respect to Healthcare Access, this would be based upon the number of hospitals, clinics and other healthcare providers that are available and their proximity to the community. 
     Examples of Environmental factors are listed in  FIG. 14 , and would be any one of a Solar Energy Assessment, such as the possibility for applying solar panels to the top of buildings, including the type of buildings and the regulation associated with implementing solar panels on those buildings. Another would be Roadway Pollution, which can be in the form of air pollution from automobiles, or vehicles, or oil or gasoline or other solvents from the autos, or other materials left on the roadways. Another criteria would be based upon the Carbon Footprint of the buildings, including the footprint based upon cement, oil or petrochemical use, such as heating or other carbon production. Another would be based upon the LEED score for Energy based buildings based upon the current construction of the buildings, and the regulation or subsidies governing the construction of buildings in a LEED based manner. Daylight/Shade coverage can be based upon the availability of the sun to a particular location or based upon the open spaces or based upon the height of the buildings or vegetation. Another score is based upon the Congestion both in terms of the density of the housing, the roads, and the people (population density) in the region and the ability of traffic to move in this region. Vegetation or Trees can be assessed which can be scored based upon the type, size and number of trees and/or vegetation in the community and the ability to plant more trees and vegetation in the community. Urban Garden Access could be assessed which could cover the availability that certain citizens have access to gardens or other regions. Another score could be based upon Green Roof Access, which is based upon the number of rooftop gardens or vegetation on the rooftops or the ability of people to put vegetation on their rooftops. Traffic Calming can be based upon the ability to reduce traffic as it enters the neighborhood both before and after the re-development. Another is based upon the Energy Savings from the re-development of the location or region this could be based upon the amount of renewable energy and other energy saving features that can be introduced. Another is based upon the Water Savings which can be created by the re-development which includes the current water use score as well as the water use score after re-development. Another criteria can be based upon the water re-use for irrigation, wherein previously used water that could be re-used for irrigation of plants etc. 
     Furthermore, as shown in  FIG. 15 , Economic Criteria can be used. Some of the many factors that may be used include but are not limited to an assessment of Property Tax change from re-development. Another criteria can be the Sales Tax Revenue. The system can also calculate the total Non-Construction Economic Activity created by the re-development. Another is based upon the Total Construction Materials. Another is based upon the total Labor Construction economic activity such as the labor payroll and the other Labor Construction economic activity. Community Benefit Agreements can be assessed which are in the form of a contract signed by community groups and a real estate developer that requires the developer to provide specific amenities and/or mitigations to the local community or neighborhood. Another assessment is based upon the total construction Jobs Created such as for buildings, roads, monuments etc. The system can also assess the new jobs created for Police, Firemen, and Sanitation Workers along with the potential for thousands of newly created permanent jobs, careers and entrepreneurial opportunities created by the redevelopment. Another assessment can be based upon the new retail, office, hospitality, healthcare, restaurant, entertainment, cultural and other categories created by this redevelopment. Another assessment can be based upon the contribution of the re-development to Education spending or funding. Another economic activity can be based upon the new housing typologies created from this re-development which can be based upon the total economic value of this new housing. 
     Next, in step S 3 , the user or the system can decide on a location for re-development. This decision can be based upon the potential that the user or the system determines for the region that has been selected. The potential is based upon any one or more of the criteria discussed above. 
     Next, in step S 4  the system can open the pre-selected data feeds to allow for further information to flow into the server. This further information can be in the form of data feeds fed by database servers such as database server  54  shown in  FIG. 3  or the different database servers shown in  FIG. 6 . 
     Next, in step S 5  the system can send drones to map the region for re-development. This is an optional step wherein the pictures and/or video taken by a drone such as drone  75  shown in  FIG. 3  is input into the system. Alternatively, in step S 6 , maps can be pulled into the system and stored into the database so that maps that are taken from generally recognized commercial databases are imported and stored in a server. In this embodiment the drones can log the GPS coordinates that are being tracked. 
     Next, in step S 7 , a map is constructed laying out the plot plan such as that shown in  FIG. 2  of the site for re-development. The map that is constructed would show the building locations, city or town blocs, streets, monuments places of interest, etc. 
     Next, once the map is constructed, in step S 8 , the system would geotag locations on the map. This geotagging includes importing information about places of interest, pinpointing particular locations, regions or GPS coordinates for monuments, stores, or areas of interest. In addition, during this step of geotagging, the system can import geo specific data into the system via a geotag device such as geotag device  63 . The geotag device  63  can be any form of suitable geotag device such as a system to record foot traffic, automobile traffic, noise pollution, demographics etc. One example for a geotagging device  63  would be a camera connected to a sensor which feeds foot traffic information to a server for recording of such foot traffic information for later storage. 
     Because re-development can be a sensitive issue in a general region, such as a community downtown, the system or user can open up to the community for comments on the re-development plan in step S 9 . This opening up for comments can be in the form of placing a kiosk at particular locations in the zone of re-development, or by soliciting comments via a website or via a townhall meeting. Once the comments are aggregated, sorted and reviewed, they can be re-presented to the community for voting on the preferences by the community. That voting on the preferences by the community can be through an online voting system conducted by the members of the community. 
     Next, in step S 10 , the system can rank the comments/preferences of the community based upon the voting presented by the community. 
     Next, in step S 11 , a user or the system can set the preferences for re-development based upon the needs or comments from the user. The guidelines for setting these preferences can be governed by internal metrics such as the zoning regulations, economic impact, social impact, or environmental impact of the preferences on the re-design. With this system, the zoning rules would be imported into the system and stored in a database server on the system such as in database server  54 . These metrics can include a weighted score for weighing or setting a preference for each of the comments or categories based upon these metrics. 
     Next, in step S 12 , once the preferences are set, the system such as the microprocessor can then create the design. For example, the information processing application server  51  can consult or contact application server  53  to coordinate the creation of buildings and then place these buildings on a map such as the map that was created in steps S 7  and S 8 . The preferences can be set by a weighted average or a ranking set to the basic criteria listed above for Social, Environmental and Economic change based upon the re-development, wherein these criteria are shown in greater detail in  FIGS. 13, 14, and 15 . 
     Next, the system and/or user can present this initial design to the Community and Municipality in step S 13 . Based upon feedback from the Community and Municipality the system can then either finalize the design in step S 14 , or revert back to step S 12  for a re-design of the proposed improvement. If the Community or Municipality rejects the design, either the developer or an architect could re-design a specific building or re-assess the criteria used for the development and either re-rank the Social, Environmental and Economic criteria or re-weight these criteria shown in  FIGS. 13, 14, 15  to create using the system a new re-design for the location. 
     Once all of the requirements have been satisfied, and the Community or Municipality approves the re-development project, the system can then move to step S 14  to finalize the design. This design would then be implemented through collaboration with architects, developers and construction companies as well as the municipality overseeing the re-development project. 
     As indicated above,  FIG. 2  is a plan view of the three-dimensional model of the real estate development location. With this view there is shown a region for re-development  10  having a plot  11  having a series of different buildings  11   a ,  11   b ,  11   c ,  11   d ,  11   e ,  11   f ,  11   g ,  11   h ,  11   i ,  11   j  etc. These buildings are placed on a street such as street  12  and also other streets such as cross-streets  13 . The metes and bounds of the region can be created via street addresses as indicated above or via pre-set GPS coordinates such as that shown herein such as GPS coordinates  14   a ,  14   b ,  14   c , and  14   d . These GPS coordinates or points  14   a ,  14   b ,  14   c  and  14   d  can also be pre-set points of interest or pre-selected regions selected by a user graphically on a map. 
       FIG. 3  is a schematic block diagram of the computer network for the development site. For example, there is shown a set of servers  50  which includes an information processing application server  51  which is in communication with an application server  53 , and a database server  54  either in a closed local network or through a wide area network such as the internet  56 . In the case that the information processing server  51  as well as the application server  53  and the database server is on a local area network, these servers are disposed behind a firewall such as firewall  55 . In the case that these servers are distributed in the cloud, each of these servers would then communicate with each other through the internet such as internet  56 . The information processing application server  51  is configured to control any one of the different application servers  53 A,  53 B, and  53 C shown in  FIG. 4  as well as any one of the database servers  54  shown in  FIG. 6 . 
     In addition, or alternatively in communication with this network and coupled to firewall  55  is internet  56 . Coupled to internet  56  is drone  75 , geotagging device  63 , WIFI emitters  61 , cell towers  62 , GPS  60 . The WIFI emitters, cell towers  62  and GPS  60  such as GPS satellites can be used to triangulate or designate locations on a map such as the map shown in  FIG. 2 . In addition, in communication with these devices are a plurality of distributed devices which are configured to provide for input of data into the system such as a first handheld device  15 , a second device  30  and a third device  36 . These devices can be in the form of a phone such as a smart phone having electronic components such as that shown in  FIG. 7A . Another distributed device can be in the form of a personal computer such as computing device  18 . 
       FIG. 4  is a schematic block diagram of the application servers shown in  FIG. 3 . These different application servers can include an open architecture (OA) application server  53 A, a functional application server  53 B and a key application server  53   c . The OA application server(s)  53 A can be any one of the following application servers NREL (National renewable energy resources laboratory server), the AARP livability index servers, and any other government servers. Other types of OA servers can include a search engine, online encyclopedias, Universities and research organizations, Trusts, foundations, Public health benefit sites, and climate change feedback cloud servers. 
     The functional application servers  53 B can include any of the suitable functional application servers such as a three-dimensional animation software server for the creation of visual effects in film, games, as well as other software. On example would be Houdini® application server. Other examples would be a mapping software server system or API such as Cesium Globe®. Other such types of servers or web services can include Cube®, carbon calculators, Social Media such as Twitter®, Facebook® etc., online funding sources, non-profits, LumenRT®, Autodesk Infrastructure 360®, Enscape®, Unreal Engine®, and Unity® for example. 
     The key application server could be in the form of a visual and content management platform or Nextspace which has a core API or Rest framework. For example,  FIG. 5  is a schematic block diagram of the key application servers; which includes a central Key Application server  53   c , which is surrounded by different other application servers such as microservices  153   a , external translation systems  153   b , Nextspace Bruce technology  153   c , and RDT product architecture summary  153   d . This key application server  53   c  is configured to pull all of this information together to then forward this information onto the information processing application server  51 . 
       FIG. 6  is a schematic block diagram of the different data inputs for the database servers shown in  FIG. 3 . For example, this layout shows the different data feeds that can be fed into the system which then forms the database system  54 . For example, there is a health impacts and climate data feed  154   a  which can be a feed of the potential health impacts and climate impacts of the construction/redevelopment project. There is also an economic data feed  154   b  which can comprise a feed to help the system/user to determine the economic impact of the redevelopment plan for the site. There is also an environmental impact data feed  154   d  which is configured to receive data on the environmental impact from redeveloping the site. Next, there is a social impact data feed  154   c  which is configured to indicate the social impact of the re-development such as a feed associated with community input as well as social metrics such as walkability, likely social interactions, restaurants, community events, cultural centers etc. All of these data fees are then fed into a main data processor or database  54  which is configured to then feed into the application server  53  or the information processing application server  51 . 
       FIG. 7A  is a diagram of the portable computing devices shown in  FIG. 3 , particularly the portable computing devices  15 ,  30  and  36  which can be used to either control or relay information from a drone  75  or to plot GPS data with associated GPS satellites  60  as well. For example, there is shown a motherboard  109  which is configured to house, power and control the following components, a microprocessor  101 , a memory  102 , a mass storage or hard drive  103 , a power supply  104 , a SIM Card  105 , a GPS  106 , a video output  107 , a WIFI or communications port  108 , and a video screen  100   a . With this design, the GPS chip  106  can be used to communicate with outside GPS satellites  60  (See  FIG. 3 ) to log and set the boundaries of the designated area. For example, in at least one embodiment, a user carrying a handheld device such as a cell phone, can walk the perimeter of a region to be assessed, marking the region using GPS coordinates, to determine a particular area for re-development. Alternatively, the portable device such as device  15 ,  30 ,  36  can communicate with Cell towers  62  (See  FIG. 3 ) using the SIM/CDMA card  105 , or communicate and triangulate with WIFI hotspots to alternatively determine the metes and bounds of a geographic area to be certified. The pictures taken by the portable device can also be geospatially tagged so that these pictures or LIDAR images can be then imported into the system to re-create the plot plan of the region for review for re-development. 
       FIG. 7B  is a diagram of the server(s) shown in  FIG. 3 ; which is the schematic layout for the servers such as servers  51 ,  53 , and  54 . The components for these servers such as servers  51 ,  53 , and  54  would include a mother board  129 , a microprocessor  121 , a memory  122 , a mass storage or hard drive  123  a power supply  124 , and at least a communications port  128 . Other components can include input and output ports if necessary as well as video ports. With this design, the microprocessor  121  is configured to carry out the instructions performed by the system such as the process associated with  FIG. 1  as well as the process associated with  FIGS. 8 and 9 . In at least one embodiment, instructions in the form of a computer program can be fed from mass storage  123 , to memory  122  and then into microprocessor  121 . The microprocessor  121  uses these instructions to decide for example which location to choose, the height or size of the buildings in the redevelopment, or the general layout of the map as based upon a pre-set set of instructions stored in mass storage  123 , fed into memory  122  or stored in database server(s)  54  and then fed to either the application server(s)  53 , or the information processing servers  51 . 
       FIG. 8  is a diagram of the flow chart for the further steps for selecting and evaluating a location for development. This flow chart is a further elaboration of the process set forth in steps S 2  and S 3 . For example, in step  101  a location can be first selected near a transportation hub. With this step, the system can search through the publicly available records to determine all of the locations that have a central transportation hub. Next, in step S 102  the system can then look preliminarily at the region and evaluate the region based upon the social ranking criteria discussed above and shown as criteria in table  1301  in  FIG. 13 . Next, in step S 103 , the system can evaluate the location based upon the potential for the social ranking once the re-development takes place. This is based upon the change in criteria set forth based upon an expected rate of return based upon the re-development. This expected change can be based upon the stored legislation for re-development and other stored factors which lead the system to determine the expected return on social change from re-development. Next, in step S 104 , the system can evaluate the location based upon the current economic factors. These economic factors are those factors listed in table  1501  shown in  FIG. 15 . Next, in step  105 , the system can evaluate the location based upon the expected change in economic activity based upon the re-development. This expected change can be based upon the change in economic activity created by past re-developments, government related statistics on open databases as well as projected earnings changes from the increased activity from re-development. Next in step S 106  the system can evaluate the location based upon the current environmental ranking based upon the environmental criteria listed above and shown as criteria in table  1401  in  FIG. 14 . Next, in step S 107 , the system can estimate the potential environmental benefit based upon the above pre-set criteria. This estimate can be based upon the environmental benefit obtained by past re-development projects, using generally available environmental benefit criteria from open databased or other types of government or publicly available data. In at least one embodiment, the system can identify an average environmental change among a plurality of different sites as well as a plurality of individual buildings in each site. Based upon the averages formed in each of these individual buildings or each site, the system can determine the social, environmental, and economic impact based upon the change in the site from before the proposed re-development and after the proposed re-development. 
     One example is if the square footage of the building has changed this would likely result in a change in tax revenue on the building. If the zoning change of the building or region of buildings was changed then this could be used to determine the tax changes for the building changes and zoning changes. 
     For example, if a zone for re-development was to take a former industrial site and turn it into mixed use commercial, retail and residential, the square footage of each of these different buildings zoned commercial, the square footage of the proposed buildings for retail and the square footage for the proposed residential buildings would be analyzed for changes in tax, revenue. In addition, with respect to the environmental impact if the site was formerly industrial, and the re-development required remediation, then the average results of previous remediation examples could be used to determine the potential environmental effects of remediation for the potential remediation. Furthermore, if these new buildings were LEED certified or included solar panels, then the potential addition of solar panels The area of additional solar panels could be used to calculate the amount of potential new energy created by the re-development. 
     With respect to social changes the system could determine the number of new restaurants potentially created vs. the restaurants before redevelopment. The system could also determine the length of walking paths, biking paths, square footage of parks and number of new monuments vs. the non re-developed site to determine the social impact on the proposed area. 
     Next, in step S 108  the system can match the composite score of improvement for the different factors listed above and rank this change for the Social, Economic, and Environmental change vs. the potential change to other locations. Next, in step S 109 , the system can select the location for development of the site based upon this potential for improvement. 
       FIG. 9  is the flow chart for the process for calibrating and applying building or other graphical assets to a re-development plot. This flow chart is an expansion of the steps outlined in steps S 4 -S 8 . 
     For example, in step S 201  the system selects the map based location for redevelopment. This step is essentially similar to step S 109  shown in  FIG. 8 . Next, in step S 202 , the system pulls the map information from generally available sites. 
     This map based information can be for example from a publicly available site such as Google® Earth. Once this basic map structure is pulled from the generally available data feed such as that shown as being pulled from the open architecture servers  53 A shown in  FIG. 4 . This information is pulled from these servers and then stored in an associated database server  54 , or in a storage medium such as a mass storage  123  in either the database server  54 , or in an associated application server  53 . One of the types of the application servers that this data could be imported into would be a graphical mapping server such as a Cesium® server which would import assets created in an associated graphical production server such as a Houdini® graphical generation server. Next, in step S 203  the system/user could order a drone or external camera to survey the development area to then subsequently to record or take pictures of the area. The recordings of either the video or pictorial representations could then be imported into the graphical mapping server such as a graphical server  53   b.    
     Next, in step S 204  the user and the system tags the different locations on the map with Geo Space Indicators. Next, in step S 205  the user creates at least one or a plurality of different buildings, or structures such as monuments, fountains or other materials. Next, in step S 206  each building or object is tagged and archived and is given a serial number. The tagging of these assets such as buildings, monuments or other objects allow for the rapid generation of such structures from a library of data for future re-development projects. For example, there are many variables that can be made and then different scenarios can be made from these archived and tagged buildings. In particular each building is analyzed for dimensions including height, length and width as well as square footage of area of development for each building. In at least one embodiment, for each building, the total cost of construction, the total increase in economic activity as well as the total change in environmental as well as social factors is calculated. 
     Next, in step S 207 , the system or user places or imports these buildings onto a map. Next, in step S 208 , the system can apply data to the map such as the information of the size or square footage of the buildings, the Social Criteria in table  1301 , the Environmental Criteria in table  1401 , or the Economic Criteria in table  1501  as well. Next, in step S 209  the system applies data to each of the buildings so that a user can scroll over each of the buildings of the re-development site to learn about the impact of each building on the site. Next, in step S 210  the system generates or renders a map view of the site. Next, in step S 211  the user/consumer interacts with this map to ether alter the buildings or the re-development plan either through graphical manipulation or data manipulation so that eventually a new re-development plan is created and then in step S 212  a new interactive map is generated. 
       FIG. 10  is a schematic block diagram for the flow of data associated with the handling of assets associated with populating a map. This view shows the information flow which proceeds between the different servers when developing, and re-developing a site or a location. For example, there is shown a database server  54 , which can either take information from, or present information to an application server  53  such as a graphical creation server  253   a , or a graphical mapping server  253   b . The graphical creation server can be in the form of a cloud server provided by Houdinii®, while the graphical mapping server can be a mapping server or API provided by the provider Cesiium®. Once the assets such as buildings or other materials are placed on the map the visual image can be rendered using rendering software and then presented on a final output Nextspace Ditital navigator viewer on server  253   a.    
     Examples of these final outputs are shown in  FIG. 11A  is a first view of a populated map, which shows a rendering of a downtown as a three dimensional image with a Social Activity score placed thereon. An example of a Social Activity Score is shown in  FIG. 13  as table  1301 . 
       FIG. 11B  is a second view of a populated map which has a three-dimensional rendering showing three different scores based upon Social (table  1301 ), Environmental (table  1401 ) and Economic Activity (table  1501 ) shown in greater detail in  FIGS. 13-15 . In addition, also shown along the left column are listings of entities  1104  in a left hand column. 
       FIG. 12A  is another view of a populated map  1201  which shows the three dimensional rendering of the downtown with individual buildings, the three different sets of criteria shown in  FIGS. 13-15  as shown in tables  1301 ,  1401 , and  1501 , as well as additional angled views  1202  shown along the left hand side. 
       FIG. 12B  is another view of a populated map which shows a first set of criteria for social activity in table  1301  along with a right hand tool bar  1203  to provide more detailed information of the development region. 
       FIG. 13  is a view of a chart or table  1301  for social implications for development. The criteria listed were described above and can include but are not limited to those criteria listed above. 
       FIG. 14  is a view of a chart or table  1401  for the environmental implications for development. The criteria listed were described above and include but are not limited to the criteria listed above. 
       FIG. 15  is a flow of a chart or table  1501  for the economic implications for development. The criteria listed were described above and include but are not limited to the criteria listed above. 
     In all the system and process is configured to create a three-dimensional rendering of a re-development plan that can be rapidly rendered, changed, and then re-designed based upon different criteria such as Social, Environmental and Economic Criteria. The renderings can be rapidly changed using the system&#39;s algorithms and based upon additional information presented to the system or based upon a re-ranking of the criteria listed or re-weighting of the criteria listed, or based upon individual changes by a developer or architect or urban planner to a particular building, monument, road or point of interest on the map. The new development can then be rapidly re-rendered and created for the community to review. 
     Accordingly, while at least one embodiment of the present invention have been shown and described, it is to be understood that many changes and modifications may be made thereunto without departing from the spirit and scope of the invention as defined in the appended claims.