An urban transformation and construction method is disclosed that creates a tropical style swimming lagoon at vacant and/or abandoned sites. The transformation includes demolishing at least part of the vacant or abandoned site, excavating material from within the site; forming a basin for a large water body having a surface area of at least 3,000 m2, and constructing water containment walls on a first section of the basin to form a waterfront perimeter. The shape of the waterfront perimeter is mainly curved, the basin has a maximum width of 300 meters, and the bottom is covered with a non-permeable material. A sloped access area is constructed in a second section of the basin to form a beach. A barrier is constructed to control access into the area including the beach. At least one recreational facility is constructed including restaurants, bars, kiosks, stores, and/or cafes about the waterfront perimeter.

A computer-based system collects data associated with a user activity. The data is transmitted from an app running on a computing device with a user account authenticated by the computer-based system. A carbon footprint of the user activity is calculated based on the data associated with the user activity. The system calculates a proof of environmental impact in response to a function of the carbon footprint and a baseline value. An amount of cryptocurrency is generated based on the proof of environmental impact by writing a transaction for the amount of cryptocurrency to a blockchain in response to proof of environmental impact. The amount of cryptocurrency is assigned to the user account authenticated with the computer-based system.

Systems, devices, products, apparatuses, and/or methods for generating a land parcel for a siting request in a geospatial area by receiving a land parcel request within a requested region to provide requirements for land development siting indicating one or more requested proximity factors, determining at least one primary site selection having a size below a requested sizing threshold based on information received from a geographical information system (GIS) including land parcel data defining a plurality of land parcels and energy data defining a plurality of energy infrastructures, automatically determines geospatial data representing one or more secondary land parcels and generates an updated site selection comprising the at least one primary site selection and at least one of the one or more secondary site selections.

Methods and systems for assessing property based on predictive analytics techniques that use external data are described herein. A server may identify a reference set of information for a reference property evaluated with a reference risk score in accordance with a risk score rule that meets a predetermined threshold. The server may obtain an external data file from an external data source, wherein the external data file includes an external set of information for a prospective property. The server may compare the reference set of information with the external set of information to identify a common feature, condition, or attribute, and if identified, may evaluate the prospective property by determining a predicted risk score based on the external set of information in accordance with the risk score rule. If the predicted risk score is determined to meet the threshold, the server may indicate the prospective property as pre-approved.

A landscape carbon calculator system including a downloadable web application user interface for installation on network connectable devices, and a server computer programmed with computer-readable and computer-usable and executable code stored in a tangible medium to be accessible by users through the web application. The server computer is programmed with executable code and is configured to calculate the estimated carbon emissions associated with the construction of a landscape design and how long the proposed design will take to sequester the carbon emitted to build the design, thereby enabling users to determine the ecological impact of a landscape design and/or build prior to construction and to assess actual vs. projected emissions used during and after construction.

Systems and methods of the present disclosure may collect data associated with a user activity. The data may be transmitted from an app running on a computing device with a user account authenticated by the computer-based system. The system may calculate a carbon footprint of the user activity based on the data associated with the user activity. An amount of carbon credits may be assigned to a user account authenticated with the computer-based system based on the calculated carbon footprint of the user activity. A transaction may be written to a blockchain retiring the amount of carbon credits in response to a request to offset a carbon footprint.

Provided herein are systems and methods for identifying a recommended treatment to land. An example method comprises: identifying a plurality of sites of interest in the land; segmenting the land into a plurality of areas based on ownership information and ecological information; identifying, for a particular area of the plurality of areas, a plurality of potential treatments; calculating a performance metric for each of the plurality of potential treatments to obtain a plurality of performance metrics for the particular area, wherein each performance metric of the plurality of performance metrics is calculated based on one or more sites of interest located in the particular area; and selecting the recommended treatment for the particular area of the land from the plurality of potential treatments based on the plurality of performance metrics.

A system and method for determining and optimal plan and specification for a proposed residential dwelling by minimizing the net cost of the dwelling to the homeowner based on a cost to build the dwelling and an estimated rental income for the dwelling. Rental income is estimated as a function of a rental history of an existing dwelling and a degree of similarity between the existing dwelling and the proposed dwelling. The parameters of the plan and specification of the proposed dwelling may be selected or obtained from a combination of user inputs, default settings, and system constraints. A three-dimensional visualization of the proposed dwelling may be integrated and rendered with a three-dimensional representation of the lot.

A technique for assessing development condition of a property is provided that determines development condition for an individual property or properties of interest using image or other sensor data from one or more unmanned aerial vehicles taken over the development process. A property condition output may be generated to indicate a condition of the property or properties.

A system comprising programmed instructions stored in memory and one or more processors configured to provide remote access to a client over a network to receive real estate space and budgeting estimate in real time through a graphical user interface (GUI). A plurality of test fit parameters are transmitted for display in the GUI for the client device to select. The selected test fit parameters are received wherein at least one comprises usable square footage. The selected property record of a property including property parameters is received. Leasing cost and construction cost estimates and a proposed layout are automatically generated including a determination of a headcount and numbers and types of office space based on the selected test fit parameters including the usable square footage and the selected property record. The generated leasing and construction cost estimates and proposed layout are transmitted for display.