gisbox

[gisbox]

How to import BIM data from the building industry into GISBox in one click

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GISBox Official Teams: https://teams.live.com/l/invite/FEAr12sInvEVy4hFQE

In recent years, BIM (Building Information Modeling) has rapidly spread in the construction industry and has become indispensable for the design, construction, and management of buildings. However, when linking BIM data to GIS (geographic information system), complex conversion work and data preparation are required, which takes a lot of time and effort.

The next-generation GIS platform "GISBox" solves such problems. With GISBox, you can import BIM data into your GIS environment with one click and use it immediately. In this article, we will clearly explain how to efficiently import BIM data in the construction industry using GISBox.

Steps to easily import BIM data with GISBox

1. Start GISBox

Download and install the latest version of GISBox from the official website.

2. Create a new project

Click "New Scene" from the left menu of the software to create a project.

3. Import BIM data

Select "Import generic model" and select a locally saved BIM file (e.g. IFC, glTF, FBX format, etc.) and upload it.

4. Optimization and conversion settings

After uploading, you can set options such as setting the base point coordinates, size parameters to adjust the amount of data, texture compression, vertex compression, etc.

5. Convert to 3D Tiles format and distribute as a service

Enable "Save as 3DTiles1.1" to convert BIM data into 3D tiles with one click. In addition, if you check "Publish as a service at the same time", a distribution URL will be automatically generated.

6. Use in GIS platforms

The generated data can be used directly in 3D map visualization platforms such as Cesium and Wings Engine.

Benefits of using GISBox

Intuitive operation

Even without specialized knowledge, BIM data can be integrated into GIS in simple steps.

Significantly reduces work time

Reduces the hassle of complex file conversion and coordinate conversion, achieving smooth data integration.

High compatibility and scalability

Flexible integration with various platforms, mainly 3DTiles format.

Improved project efficiency

Maximizes the effect of BIM + GIS integration in various fields such as urban planning, infrastructure management, and disaster prevention.

Summary

The integration of BIM and GIS in the construction industry will become increasingly important in the future. By using GISBox, BIM data can be imported into GIS with one click without complex conversion work, and 3D visualization and analysis can be performed immediately. This can be expected to produce great results such as improved design accuracy, efficient construction management, and optimal operation of urban infrastructure. 

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[gisbox]

I3S × OSGB! Interoperability of 3D city models

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A new era of 3D city data As demand for digital twins and smart cities grows, the development and use of 3D city models is progressing rapidly. At the heart of this is a 3D tile format that can efficiently visualize and distribute buildings, terrain, and more.

Among them, the “Indexed 3D Scene Layer (I3S)” format, which is widely used in Esri’s ArcGIS platform, has become a standard, especially for local governments and large-scale GIS projects.

What are the benefits of the I3S format?

I3S is an advanced 3D data format with the following features:

🌍 **Multiple hierarchies and LOD (Level of Detail) support** enable lightweight display

🏢 Supports multiple types such as buildings, point clouds, and meshes

🔄 High compatibility with ArcGIS Online and ArcGIS Pro

🌐 Strong in real-time display via web browsers

However, on the other hand, there is also the issue of “low compatibility with other 3D platforms.” For example, interoperability with Cesium, FME, OSGB (tilt photography), etc. is limited, and many people have trouble centrally managing and reusing 3D assets.

GISBox considering I3S conversion support?

In light of this background, the 3D geospatial management platform “GISBox” is expected to add support for the I3S format and a conversion function to OSGB/3D Tiles in the future.

GISBox is currently a SaaS-based 3D spatial tile generation and distribution solution that supports major formats such as S3M, OSGB, and 3D Tiles, and can integrate multiple data such as point clouds, tilt photos, and BIM models.

If automatic conversion, preview, and distribution of I3S to 3D Tiles, I3S to OSGB, etc. were to be realized,

✅ Assets built with ArcGIS can be used in other engines (Cesium, Unreal, Unity, etc.)

✅ Web distribution and API integration of I3S format data is possible

✅ Improved reusability of 3D data between different projects and companies and other great benefits would be created.

Expected future prospects

Currently, GISBox is used by many public institutions and construction and civil engineering companies, and requests for “Is I3S support available?” are increasing. This truly represents the market need to effectively utilize I3S data outside the Esri platform.

If “I3S conversion and import” is realized in a future update, it will be a major opportunity for not only ArcGIS users but also a wide range of industries to switch to GISBox.

🔖Summary

The era of 3D geospatial data is evolving beyond the barriers of format. The I3S format is no exception, and our next step is to make its rich structure available for other 3D platforms. Please keep an eye on the future evolution of GISBox.

GISBox Official Teams: https://teams.live.com/l/invite/FEAr12sInvEVy4hFQE Official Teams Group: https://teams.live.com/l/invite/FBAFp0pbqhqlpe1BQI

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How to convert OSGB to 3DTiles with GISBox

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In recent years, with the popularity of oblique photography and 3D city models, OSGB and 3DTiles have become the main three-dimensional data formats in the GIS (geographic information system) field. However, in practice, the required data format varies depending on the project and platform, and there are more and more situations where conversion from OSGB to 3DTiles is required.

That’s where GISBox comes in. This free software realizes complex three-dimensional data conversion work with intuitive operations, significantly reducing the workload of GIS engineers. In this article, we will introduce in detail the conversion procedure from OSGB to 3DTiles format using GISBox and the benefits of introducing it.

🔧How to convert OSGB to 3DTiles with GISBox

✅Step 1: Select module and start a new conversion task Start GISBox and select the “Tile” module from the menu bar. Click [New] in the upper right corner to create a new conversion task.

✅Step 2: Select data type Select “Oblique photography reverse tile” on the left side of the task setting window. Here, set the input format to OSGB and the output format to 3DTiles. This allows for three-dimensional tiling of OSGB files.

✅Step 3: Import OSGB files Click the “Add file” button to load OSGB data stored locally. Multiple files can also be loaded at once, so you can rest assured even if there are many objects to process.

✅Step 4: Set output parameters and save destination Output format: 3DTiles (Cesium compatible)

Texture compression: On (ideal for high-speed web display)

Output path: Specify a folder for the project When the settings are complete, click “Create”.

✅Step 5: Start conversion When all settings are complete, press “Create”. GISBox automatically performs model cutting, hierarchical structure generation, texture optimization, etc.

💡Why choose GISBox | 4 main benefits

✔1. Completely free and high performance GISBox provides commercial-level functions for free. It is comparable to paid tools and can be used by a wide range of users from individuals to corporate users.

✔2. Stress-free operability The UI is very simple and intuitive. No complicated settings or scripts are required, and conversion is completed in just a few clicks. Even beginners can operate it immediately.

✔3. Achieving both processing speed and accuracy Multi-threading support allows smooth processing of large-scale OSGB data. The error rate is low, and the generated 3DTiles are highly accurate and displayed smoothly.

✔4. Excellent compatibility The output 3DTiles can be used as is on major platforms such as CesiumJS, FME, and WebGIS environments. Workflow consistency can be maintained.

📌 Summary

As the need for visualization and distribution of 3D geospatial data increases, mutual conversion between OSGB and 3DTiles is becoming increasingly important. GISBox is an ideal tool that is free, highly functional, and easy to use, and will be a powerful ally for engineers who want to improve the efficiency of conversion work.

GISBox Official Teams: https://teams.live.com/l/invite/FEAr12sInvEVy4hFQE Official Teams Group: https://teams.live.com/l/invite/FBAFp0pbqhqlpe1BQI

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Use GISBox to convert from OSGB to GLB!

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In recent years, the use of “OSGB (Open Scene Graph Binary Format)” has been increasing in the visualization of urban models, architectural designs, and point cloud data. However, OSGB files are difficult to use directly on general 3D visualization tools or web browsers, so they need to be converted to the more versatile “GLB” format.

This is where the professional GIS tool “GISBox” comes in handy. With GISBox, you can convert OSGB files to GLB files with high accuracy and ease, greatly expanding the range of 3D data usage.

Benefits of converting OSGB to GLB with GISBox

1. High-speed data processing GISBox can process large amounts of OSGB files in a short time. Even complex models can be converted smoothly.

2. Conversion with precision Even the converted GLB files retain the geometry and texture quality of the original data. It meets the high demands of the architectural and surveying industries.

3. Easy operation The interface is designed to be intuitive even without specialized knowledge. Anyone can start converting OSGB to GLB right away.

4. Supports multiple formats In addition to OSGB, it supports a wide variety of 3D data formats (FBX, OBJ, gltf, b3dm, etc.), making it easy to expand your projects.

5. Easy web integration Since GLB files can be displayed directly in a web browser, you can instantly publish and share 3D models by integrating with platforms such as CesiumJS, Three.js, and Wings Engine.

Recommended for the following scenes!

Sharing 3D models in urban development projects

Creating AR/VR presentation materials at architectural design offices

Visualizing and analyzing point cloud data

Building 3D map services on the web

Using for digital twin systems

Summary

If you want to convert OSGB files to GLB format and use 3D data more freely, GISBox is the perfect solution.

Take your 3D projects to the next level with GISBox, which combines high performance, high accuracy, and easy operation!

GISBox Official Teams: https://teams.live.com/l/invite/FEAr12sInvEVy4hFQE Official Teams Group: https://teams.live.com/l/invite/FBAFp0pbqhqlpe1BQI

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[gisbox]

Break through the S3M barrier! New features in GISBox give you more freedom in 3D distribution

GISBox Official Teams: https://teams.live.com/l/invite/FEAr12sInvEVy4hFQE Official Teams Group: https://teams.live.com/l/invite/FBAFp0pbqhqlpe1BQI

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As we introduced the other day, GISBox has finally officially released a powerful new function that allows you to convert 3D data in S3M format to OSGB + 3DTiles environment and perform web distribution in one stop. With this update, users can enjoy the following benefits.

✅ Real-time data sharing and support for various viewers By converting S3M to OSGB + 3DTiles format and supporting immediate web distribution, it is now possible to directly deploy it to many 3D platforms such as Cesium, Wings Engine, and Unreal Engine.

This makes it possible to smoothly bridge data from the S3M operation site to domestic and overseas BIM / CIM platform environments.

🛠️ Further evolution of workflow automation S3M → LOD analysis → OSGB + 3DTiles → distribution can now be performed as a batch process.

This reduces conversion tasks and distribution preparation time by up to 70% or more. It greatly contributes to shortening project delivery dates and improving efficiency.

🎯 Introducing actual application scenarios Smart city/urban planning department: Convert city models (S3M) created in China to OSGB and visualize/use them on domestic government/citizen platforms.

Companies/consultants promoting construction DX: Integrate and use S3M data in their own CIM/BIM environments, and deploy everything from 3D point cloud analysis to maintenance support.

Universal digital twin developer: Utilize S3M assets while distributing them to the cloud as a general-purpose 3DTiles model. Greatly improve data reusability and scalability.

Drone point cloud/urban model operation user: Convert point cloud data to OSGB format and visualize in real time using Cesium, etc. Can be applied to slope change analysis of slopes and structures.

🎉Summary: Creating value beyond data compatibility With this new function, GISBox has evolved into a unique platform that connects S3M data from China with the global standard OSGB environment. It removes the “barrier between data formats” that has been an issue until now, and accelerates integration into various GIS/XR/drone/BIM workflows.

GISBox will continue to strengthen its compatibility with all 3D formats and distribution convenience to provide a “usable 3D data environment.” Please try the latest version and experience the new standard for sustainable 3D asset utilization.

GISBox is your partner that turns your 3D assets into “usable” digital assets. Let’s walk together in the coming era of GIS, smart cities, and construction digital transformation!

[gisbox]

5 easy-to-use GIS platforms to unlock new ways of map making

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If you want to draw a world map, what method will you choose, hand-drawing, mapping software or professional GIS software? Everything in today’s life is related to geographic information. GIS is based on spatial data and covers transportation, aerospace, meteorology, resources, agriculture and other fields. The various online map products we come into contact with in daily life, such as Baidu Maps, Amap, Meituan, etc., are just the tip of the iceberg of GIS. This article recommends five common GIS software for everyone. See how many you have used?

1. GISBox — Free GIS software suitable for the public GISBox is a free and powerful one-stop 3D GIS processing platform. It performs well in 3D geographic data processing and provides users with a full-process solution from data processing to service publishing.

a. Multi-format file import

Supports the import of multiple formats such as GLTF, FBX, OBJ, SHP, GEOJSON, OSGB, etc. After importing, it can be previewed in real time, which is convenient for users to quickly view the data content and meet the needs of different data sources. Whether it is complex 3D model data or common vector data, it can be easily connected to the platform for subsequent processing.

b. Massive format slice conversion

It covers various types such as oblique photography slice, general model slice, terrain slice, image slice, point cloud slice, oblique photography reverse cutting, etc. In the urban 3D modeling project, the oblique photography slice function can be used to quickly convert the collected oblique photography data into a format suitable for network transmission and display, greatly improving the data processing efficiency.

c. Free service release

It supports the release of protocols such as 3DTiles, Terrain, Wmts, and also supports the release of collection services. After the slicing is completed, models and data files of different formats can be automatically released. After the release is completed, the slice content can be quickly previewed, and the release path can be viewed with one click.

d. Wide application scenarios

In the field of urban planning, SHP data can be imported by selecting the map, and the urban building model can be generated by one-click pull-up, and the urban 3D scene can be quickly built to help planners intuitively carry out urban layout planning and program evaluation; in disaster emergency response, its data processing capabilities can be used to quickly integrate terrain, image and other data in the disaster area.

2. Manifold GIS — Multidisciplinary Integration Platform Manifold GIS is a comprehensive platform that integrates GIS, CAD, database and network functions. It is known for its high performance and multidisciplinary integration capabilities and is suitable for scientific research, engineering and commercial analysis scenarios.

a. Multi-engine architecture

It has hybrid data management functions and supports seamless integration of vector/raster/tabular data. The built-in CAD engine can directly edit DWG/DXF files without converting formats. It natively supports TIN, point cloud, and BIM models, and can perform 3D spatial analysis and visualization.

b. Spatial computing optimization

Using “SQL-Map” technology to achieve second-level query of millions of features, which is more than 10 times faster than traditional GIS, greatly improving the efficiency of GIS data processing and analysis.

c. Collaboration and sharing

Built-in Git-like version management system, supports multi-person collaborative editing, and supports connection to cloud storage such as AWS and Azure to achieve cloud data synchronization.

3. Global Mapper — Lightweight Data Conversion Global Mapper is a lightweight but powerful GIS tool, known for its wide support for data formats and 3D visualization capabilities, especially suitable for data processing and rapid mapping.

a. Multi-format compatibility

Supports conversion of more than 300 vector/raster data formats (such as LiDAR LAS, drone orthophotos), and built-in CAD tools can directly edit engineering drawings.

b. 3D analysis capabilities

Provides tools such as TIN modeling, contour generation, and line of sight analysis, and supports direct loading of oblique photography models for 3D measurement.

c. Online service integration

Built-in online data sources such as NASA WorldWind and Bing Maps, and supports real-time calls to WMS/WFS services.

4. MapInfo — Easy to use MapInfo is a popular geographic information system software. It occupies a unique position in the GIS field with its simple and easy-to-use features. It is especially suitable for users who do not have complex GIS function requirements and only need to make basic maps and simple data analysis.

a. Simple and convenient operation

With an intuitive graphical user interface (GUI), novice users can quickly become familiar with and get started, and easily complete tasks such as data import, editing, analysis and map presentation.

b. Map visualization function

With a wealth of map drawing and analysis tools, it can create and edit map layers, and intuitively display geographic data through different symbols, colors, labels, etc., to help users more clearly understand the relationship between data and geographic information.

5. Google Earth Engine — Cloud Data Processing

Google Earth Engine is a cloud computing-based geographic information system platform that allows users to efficiently process and analyze massive amounts of geographic data in the cloud.

a. Based on cloud computing

With the help of Google’s powerful cloud computing infrastructure, users do not need to store large amounts of data and perform complex calculations locally, and can directly process and analyze PB-level geospatial data in the cloud, greatly saving time and hardware costs.

b. Massive data resources

It integrates a large number of geographic data sets such as satellite images, terrain data, and meteorological data, covering global and long-term data series. Users can easily obtain and use these data without having to search and download them everywhere.

c. Simple API

It provides simple and easy-to-use JavaScript and Python APIs, which facilitate developers to carry out customized development and application integration. It can easily integrate the functions of Google Earth Engine into their own projects to expand the functions and value of applications.

Summary In summary, these five tools have their own advantages and highlights. When choosing GIS tools, it is recommended that you first clarify your needs and application scenarios, and then choose the tool that suits you. If you are a GIS novice, then the free GISBox is definitely the best choice.

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GISBox conversion: 3DTiles → OSGB in one step

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In the field of 3D geographic information system (3D GIS) and digital twins, 3DTiles and OSGB are two widely used 3D model formats. 3DTiles, as an open standard developed by the Cesium team, is particularly suitable for the visualization of massive 3D data in a network environment; while OSGB (OpenSceneGraph Binary) is a high-performance format commonly used in localized 3D applications. This article will introduce in detail how to use GISBox, a professional tool, to achieve efficient conversion between 3DTiles and OSGB formats to meet the needs of different application scenarios.

1. Create a new tiling task

Open the GISBox software, in the “Tiling”, Select “Reverse Tiling ” to create a tilng task.

2. Add file

In the pop-up “Create New Tiling Task” window, click the “+ Add File” button above to add our local file, usually a tileset.json file.

3. Set parameters and start tiling

After adding the file, you can set the folder path for tile export. You can choose to turn on the “KTX2 Transcoding”, and set up spatial reference, choose “Y up” or “Z up”. Then click “Create”.

[gisbox]

Efficient Conversion from OSGB to 3DTiles for 3D Geospatial Data

GISBox Official Teams: https://teams.live.com/l/invite/FEAr12sInvEVy4hFQE Official Teams Group: https://teams.live.com/l/invite/FBAFp0pbqhqlpe1BQI

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In the field of geographic information systems (GIS) and 3D visualization, OSGB (OpenSceneGraph Binary) and 3DTiles are two widely used 3D data formats. The OSGB format is often used to store complex 3D terrain and building models, while 3DTiles is a 3D tile format optimized for network transmission and rendering. This article will introduce in detail how to convert OSGB format data to 3DTiles format in GISBox to meet the needs of online browsing and efficient rendering.

The OSGB format occupies an important position in 3D modeling with its rich 3D information (including point clouds, textures, surface normal vectors, etc.). However, as 3D data continues to grow, how to efficiently manage and transmit this data has become a challenge. The 3DTiles format emerged as the times require. It supports a variety of data compression algorithms and streaming rendering technologies, which can significantly improve data transmission and display efficiency. Therefore, converting OSGB models to 3DTiles models can facilitate users to browse and use these three-dimensional data online.

Operation process of converting OSGB to 3DTiles in GISBox

GISBox is a professional 3D data processing tool that supports the conversion and processing of multiple 3D data formats. Here are the detailed steps to convert OSGB to 3DTiles using GISBox:

1. Create a new tiling task

Open the GISBox software, in the “Tiling”, Select “OSGB ” to create a tilng task.

2. Add OSGB file

In the pop-up “Create New Tiling Task” window, click the “+ Add File” button above to add our local OSGB file.

3. Set conversion parameters and start tiling

After adding the OSGB file, you can set the folder path for tile export in “Basic Parameters”. “Spatial Reference” and “Zero Point Coordinates” will be automatically generated based on the “metadata.xml” file in the folder. When the amount of tilted 3D model data is large, you can choose to turn on the “Top Rebuild” , which can significantly improve loading performance and enhance the browsing experience.

In “Storage Type”, “Storage 3DTiles1.1” is enabled by default. When turned on, the model files in the OSGB folder are exported to glb format. When closed, it is in b3dm format.

4. Service distribution and viewing

If “Stream as Service” is checked in the tiling task settings, the corresponding service will be automatically generated when the tiling is completed. Click the “Service” on the left, and then select the first model service to see the generated service. For services, you can click to copy the service address, or click the “Preview” button to preview it in the browser.

Through GISBox software, we can easily convert 3D models in OSGB format to 3DTiles format to achieve efficient management and transmission of 3D data. This conversion process not only improves the efficiency of data processing, but also enhances the user experience. Therefore, GISBox is one of the ideal tools for OSGB to 3DTiles conversion. Whether you are a professional GIS practitioner or a 3D data enthusiast, you can use GISBox to explore more possibilities for 3D data conversion and visualization.

[gisbox]

GISBox-From design to urban management: Deploying BIM models in urban spaces

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The wave of digitalization is bringing about an unprecedented era of change in the construction industry. Traditional BIM (Building Information Modeling) technology has made design more precise and efficient, but designers are gradually realizing that buildings are closely related to the surrounding geographic environment. Rather than treating BIM models as standalone buildings, integrating them into the space of the entire city is becoming a new direction of exploration.

For example, in a technology park development project in Tokyo, the BIM model was converted into GIS tiles and overlaid with information on earthquake faults and subway networks to detect ground risks in advance. Significant cost reductions were achieved by optimizing the foundation design.

The greatest advantage of this technology is its “spatial integration power”. Traditional BIM design was focused on the internal structure and function of the building, but with GIS tiles, the building will “function in the real geographic environment.” Designers can easily call up information such as topographical data, satellite images, and urban infrastructure, enabling comprehensive analysis.

In addition, the fusion of BIM and GIS tiles also contributes greatly to the efficiency of presentations. Until now, designers proposed proposals using static drawings and CG perspective drawings, but now multiple BIM models can be displayed in real time on the GIS platform and presented in an interactive format. This makes it easier for customers and government officials to intuitively understand the design intent, and project decision-making becomes faster.

In the future, the widespread use of digital twin technology will make BIM and GIS even more closely integrated. Architectural design will no longer be limited to paper drawings or standalone 3D models, but will be integrated into the digital ecosystem of smart cities.

In this transformation, those who can quickly take advantage of the fusion of BIM and GIS tiles will be the ones to take the lead in the future of the architecture industry. From single buildings to entire cities, from static design to dynamic dialogue — our definition of architecture is changing right now.

[gisbox]

Convert oblique photos to OSGB! Build precise models with GISBox’s reverse tiling

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In the development of modern cities, transportation planning is directly related not only to the sustainable growth of cities, but also to citizens’ daily mobility experience and quality of life. With the advancement of GIS technology, 3D visualization has become an indispensable tool for transportation planning. GISBox is a highly efficient GIS tiling and visualization software, and its oblique photo inverse tiling function plays an important role in transportation planning, providing planners with a more precise, intuitive and efficient solution.

1. Reuse and analysis of data by inverse tiling In transportation planning, oblique photo data can reproduce urban roads, bridges, railways and other infrastructure in 3D models. However, when transportation planning teams use traffic simulation and design software, 3D data in OSGB format is often required. GISBox’s oblique photo inverse tiling function can convert models in 3DTiles format to OSGB format, so that 3D models for web visualization can be reconverted into a format suitable for editing and analysis. This greatly improves the efficiency of reuse of transportation planning data and reduces the effort and cost of remodeling.

Second, traffic design with high-precision 3D modeling In traffic planning, high-precision 3D models are required for the design of complex structures such as bridges, intersections, and tunnels. With the reverse tiling function of GISBox, 3D tiles data generated from oblique photographs can be converted into OSGB format, so that high-precision 3D models can be imported into traffic design software (Civil 3D, Revit, InfraWorks, etc.) for secondary processing and detailed design.

Third, optimization and visualization of transportation facility layout Transportation planning requires a wide range of adjustments, such as road widening, improvement of grade separation, and optimization of public transportation. GISBox’s reverse tiling function can export 3D scene data in OSGB format, and then work with BIM and CAD software to optimize facility layout.

In addition, GISBox can tile the reverse-tiled OSGB model again into 3DTiles format and publish it on the Web. This multi-platform display function allows the results of transportation planning to be shared with government agencies, companies, and the general public, improving information transparency and decision-making efficiency.

Summary GISBox’s oblique photo reverse tiling function plays an essential role in transportation planning. This function enables free conversion and reuse of data formats, improving efficiency and accuracy at each stage of design, simulation, optimization, and visualization. Furthermore, it can also be applied to the maintenance and risk assessment of transportation infrastructure, contributing to the creation of smart cities and advanced transportation management.

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GISBox — Easy-to-use GIS software even for those starting from scratch

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Even if you want to step into the world of geographic information systems (GIS), traditional tools such as ArcGIS and QGIS are complicated to operate and have a high learning cost, making them a high hurdle for beginners.

However, GISBox overturns this common sense and is a GIS slice and 3D visualization software specialized for beginners. It is attracting attention as an ideal starter tool for students and researchers studying geography, and beginners interested in digital twins.

2: Design that emphasizes visualization and deepens understanding All processing is visualized, and you can check the progress and results of processing in real time. It is designed to naturally understand the principles of GIS behind the operations, making it the ideal learning environment for acquiring practical knowledge.

3: Supports major formats

4: Start for free

GISBox has a free plan that allows you to try out all the basic functions. It is being introduced as a teaching material in universities and vocational schools, and is highly regarded as a tool that allows students to acquire skills through practice.

5: Useful functions that beginners will love

Automatic model optimization function such as normal calculation and texture compression

One-click distribution function in 3DTiles format

Multilingual support, so you can use it with confidence in Japanese

Summary:

If you are interested in the world of GIS and want to start learning, GISBox is the ideal starting tool. It is easy to use and produces professional results — that’s the appeal of GISBox. Please try out this “beginner-friendly GIS solution” that can be used for both learning and practice.

[gisbox]

Tools to improve GIS operation efficiency: You must know these four toolboxes

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With the widespread application of geographic information systems (GIS) in urban planning, environmental monitoring, traffic management, emergency command and other fields, professional GIS toolbox software has become a powerful tool for technicians to improve efficiency. This article will introduce four powerful GIS toolbox software to help you work efficiently in spatial analysis, data processing and visualization.

GISBox

GISBox is a domestic free GIS toolbox software, focusing on simplicity, efficiency and localization adaptation, suitable for teaching training, small projects and rapid prototyping scenarios. It integrates common functions such as vector analysis, raster calculation, spatial query, coordinate conversion, and has good support for China's local coordinate system and administrative division data. GISBox supports multiple formats, such as Shapefile, GeoJSON, TIFF, KML, etc., and also allows users to expand functions through plug-ins and customize data processing modules. Compared with large commercial software, GISBox starts quickly and has a flat learning curve. It is a good choice for beginners or users who need domestic software.

ArcToolbox (ArcGIS Pro)

ArcToolbox is the core tool component of the ArcGIS Pro system, supported by Esri, and is recognized by the industry as the most professional and comprehensive GIS tool set. It contains hundreds of functional modules such as spatial analysis, data management, layer processing, 3D modeling, geostatistical analysis, and is tightly integrated with ArcGIS ModelBuilder and Python script automation. ArcToolbox is particularly suitable for scenarios with extremely high requirements for spatial accuracy, data quality and visualization effects, and is widely used in government departments, scientific research institutions and large-scale engineering projects. Its only threshold is the commercial licensing fee and a certain learning cost.

QGIS Processing Toolbox

QGIS Processing Toolbox is the core tool library in the open source GIS platform QGIS, which aggregates a variety of third-party open source algorithms such as GRASS, SAGA, GDAL, Orfeo Toolbox, etc., to provide users with flexible and diverse spatial analysis capabilities. Thanks to the deep support of Python, QGIS Toolbox can be highly customized for building workflows, plug-in development and batch data processing. Its good cross-platform compatibility and rich plug-in ecology make it widely adopted in universities, NGOs and small and medium-sized enterprises. For teams that need flexible development, limited budget but high functional requirements, QGIS is a very suitable solution.

WhiteboxTools

WhiteboxTools is a high-performance open source toolbox focusing on terrain analysis and raster processing. It was originally developed by the University of Waterloo in Canada and is widely used in research fields such as geomorphology, hydrology and environmental science. It is mainly based on command line and Python interfaces, and can also be integrated into QGIS or ArcGIS environments through plug-ins. The advantages of WhiteboxTools are fast processing speed and accurate algorithms, which are suitable for processing complex tasks such as high-resolution DEM data, water system extraction, and watershed analysis. It has a rich number of tools, covering nearly two hundred spatial computing operations, and is especially favored by scientific researchers and geographic modeling experts.

Summary

In summary, the four GIS toolboxes have their own characteristics and can meet the needs of users at different levels and fields. You can flexibly choose the right tool according to the actual project scale, budget and required functions to improve the efficiency of spatial data processing and maximize the value of geographic information.

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3D Data Conversion Made Easy – PLY/Splat to 3D Tiles with GISBox

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In the field of three-dimensional geographic information, Gaussian Splatting technology is often used for the visualization of point cloud data. The PLY/Splat format files generated by it can efficiently express complex point cloud models. However, if this type of data is to be dynamically loaded and efficiently rendered on the Web, converting it to 3DTiles format is a better choice. This article will focus on the free tool GISBox to explain in detail the conversion process from Gaussian splatting files to 3DTiles, with operation tips and precautions.

Ⅰ. Preparation GISBox is a free GIS toolbox that supports Windows, Mac and Linux systems. We can download the corresponding version from the official website and complete the installation. Next, make sure that the Gaussian splatting file contains complete geometric information (such as vertex coordinates, normal vectors, etc.).

Ⅱ. Detailed explanation of conversion steps 1. Create a new tiling task

After starting GISBox, click the “Tiling” function on the left toolbar and select the “Add” button in the upper right corner to create a task.

2. Add PLY file In the opened tiling task window, select the “3DGS Tiling” , then click the “Add file” button to select the Gaussian splat file you need to convert. GISBox’s powerful data parsing capabilities can quickly read the geometric information in the file and build the corresponding 3D model data structure inside the software. If the data volume is large (such as city-level point cloud), it is recommended to check the file integrity in advance to avoid conversion failure.

3. Parameter setting In the tiling task window, you can set the conversion parameters, including export path, spatial reference, zero point coordinates, etc. Make sure these parameters are set correctly to meet your needs:

Export path: Select the path where you want to save the converted 3DTiles file.

Spatial reference: Select the appropriate spatial reference system based on your data.

Zero point coordinate: Set the zero point coordinate of the data model to avoid rendering offset.

4. Execute conversion After confirming that all parameter settings are correct, click the “Create” button, and GISBox will start the conversion process according to the set parameters. You can view the progress and status of the conversion on the software interface. After the slicing is completed, we can view the corresponding model service in the “Service” column. The generated service address can be applied to GIS engines such as Cesium or Cesium for Unreal, or to the digital twin project building platform, such as Shanhaijing visualization.

III. Notes 1. Data accuracy During data preprocessing and conversion, special attention should be paid to maintaining data accuracy. Especially when simplifying the model, avoid distortion of the model’s geometric shape due to over-simplification, which will affect the final display effect.

2. File size The size of the converted 3DTiles file will affect the data loading speed. Before conversion, minimize unnecessary data redundancy and optimize the data structure through data preprocessing to reduce the size of the final generated 3DTiles file and improve the data loading efficiency in network transmission and application.

3. Cesium compatibility If you plan to use the converted 3DTiles file in GIS engines such as Cesium, make sure that the Cesium version supports the KHR_gaussian_splatting extension. Because the tile output of the Gaussian splatting model requires this extension to render correctly. You can clone the Cesium branch that supports the KHR_gaussian_splatting extension from GitHub, compile and load it.

IV. Summary The conversion from Gaussian splatting to 3DTiles through GISBox not only lowers the technical threshold, but also significantly improves the rendering efficiency of data on the Web. Whether it is digital twins, smart cities, or cultural heritage protection, this process can provide efficient support for 3D scene construction. I hope this article can help you work more easily in the field of 3D GIS.

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GISBox: Boosting OSGB — to — 3DTiles 3D Data Conversion Optimization

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In the field of geographic information systems (GIS) and 3D visualization, OSGB (OpenSceneGraph Binary) and 3DTiles are two widely used 3D data formats. The OSGB format is often used to store complex 3D terrain and building models, while 3DTiles is a 3D tile format optimized for network transmission and rendering. This article will introduce in detail how to convert OSGB format data to 3DTiles format in GISBox to meet the needs of online browsing and efficient rendering.

The OSGB format occupies an important position in 3D modeling with its rich 3D information (including point clouds, textures, surface normal vectors, etc.). However, as 3D data continues to grow, how to efficiently manage and transmit this data has become a challenge. The 3DTiles format emerged as the times require. It supports a variety of data compression algorithms and streaming rendering technologies, which can significantly improve data transmission and display efficiency. Therefore, converting OSGB models to 3DTiles models can facilitate users to browse and use these three-dimensional data online.

Operation process of converting OSGB to 3DTiles in GISBox

GISBox is a professional 3D data processing tool that supports the conversion and processing of multiple 3D data formats. Here are the detailed steps to convert OSGB to 3DTiles using GISBox:

1. Create a new tiling task

Open the GISBox software, in the “Tiling”, click the “Add ” button on the upper right to create a tilng task.

2. Add OSGB file

In the pop-up “Create New Tiling Task” window, we select the type of tile — tilted model tile, and then click the “+ Add File” button above to add our local OSGB file.

3. Set conversion parameters and start tiling

After adding the OSGB file, you can set the folder path for tile export in “Basic Parameters”. “Spatial Reference” and “Zero Point Coordinates” will be automatically generated based on the “metadata.xml” file in the folder. When the amount of tilted 3D model data is large, you can choose to turn on the “Top Rebuild” , which can significantly improve loading performance and enhance the browsing experience.

In “Storage Type”, “Storage 3DTiles1.1” is enabled by default. When turned on, the model files in the OSGB folder are exported to glb format. When closed, it is in b3dm format.

4. Service distribution and viewing

If “Stream as Service” is checked in the tiling task settings, the corresponding service will be automatically generated when the tiling is completed. Click the “Service” on the left, and then select the first model service to see the generated service. For services, you can click to copy the service address, or click the “Preview” button to preview it in the browser.

Through GISBox software, we can easily convert 3D models in OSGB format to 3DTiles format to achieve efficient management and transmission of 3D data. This conversion process not only improves the efficiency of data processing, but also enhances the user experience. Therefore, GISBox is one of the ideal tools for OSGB to 3DTiles conversion. Whether you are a professional GIS practitioner or a 3D data enthusiast, you can use GISBox to explore more possibilities for 3D data conversion and visualization.

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Convert Gaussian splash files (PLY/Splat) to 3DTiles

In the field of three-dimensional geographic information, Gaussian Splatting technology is often used for the visualization of point cloud data. The PLY/Splat format files generated by it can efficiently express complex point cloud models. However, if this type of data is to be dynamically loaded and efficiently rendered on the Web, converting it to 3DTiles format is a better choice. This article will focus on the free tool GISBox to explain in detail the conversion process from Gaussian splatting files to 3DTiles, with operation tips and precautions.

Ⅰ. Preparation GISBox is a free GIS toolbox that supports Windows, Mac and Linux systems. We can download the corresponding version from the official website and complete the installation. Next, make sure that the Gaussian splatting file contains complete geometric information (such as vertex coordinates, normal vectors, etc.).

Ⅱ. Detailed explanation of conversion steps 1. Create a new tiling task After starting GISBox, click the “Tiling” function on the left toolbar and select the “Add” button in the upper right corner to create a task.

2. Add PLY file In the opened tiling task window, select the “3DGS Tiling” , then click the “Add file” button to select the Gaussian splat file you need to convert. GISBox’s powerful data parsing capabilities can quickly read the geometric information in the file and build the corresponding 3D model data structure inside the software. If the data volume is large (such as city-level point cloud), it is recommended to check the file integrity in advance to avoid conversion failure.

3. Parameter setting In the tiling task window, you can set the conversion parameters, including export path, spatial reference, zero point coordinates, etc. Make sure these parameters are set correctly to meet your needs:

Export path: Select the path where you want to save the converted 3DTiles file.

Spatial reference: Select the appropriate spatial reference system based on your data.

Zero point coordinate: Set the zero point coordinate of the data model to avoid rendering offset.

4. Execute conversion After confirming that all parameter settings are correct, click the “Create” button, and GISBox will start the conversion process according to the set parameters. You can view the progress and status of the conversion on the software interface. After the slicing is completed, we can view the corresponding model service in the “Service” column. The generated service address can be applied to GIS engines such as Cesium or Cesium for Unreal, or to the digital twin project building platform, such as Shanhaijing visualization.

III. Notes 1. Data accuracy During data preprocessing and conversion, special attention should be paid to maintaining data accuracy. Especially when simplifying the model, avoid distortion of the model’s geometric shape due to over-simplification, which will affect the final display effect.

2. File size The size of the converted 3DTiles file will affect the data loading speed. Before conversion, minimize unnecessary data redundancy and optimize the data structure through data preprocessing to reduce the size of the final generated 3DTiles file and improve the data loading efficiency in network transmission and application.

3. Cesium compatibility If you plan to use the converted 3DTiles file in GIS engines such as Cesium, make sure that the Cesium version supports the KHR_gaussian_splatting extension. Because the tile output of the Gaussian splatting model requires this extension to render correctly. You can clone the Cesium branch that supports the KHR_gaussian_splatting extension from GitHub, compile and load it.

IV. Summary The conversion from Gaussian splatting to 3DTiles through GISBox not only lowers the technical threshold, but also significantly improves the rendering efficiency of data on the Web. Whether it is digital twins, smart cities, or cultural heritage protection, this process can provide efficient support for 3D scene construction. I hope this article can help you work more easily in the field of 3D GIS.

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Build a Stunning 3D City Model with GISBox!

3D models are an essential tool in the fields of urban planning, architectural design and geographic information management. GISBox, as a free and powerful platform, allows users to quickly generate 3D models of cities. Below, we will introduce in detail the steps to generate a 3D model of a city using GISBox.

1: Create a new scene

2: Select from the map

Find and click the “SHP” option on the scene editing screen.

The system will pop up a window and select the “Select from the map” mode.

Go to the city area you want to model and select the desired area.

This step allows you to accurately select the city range and provides important data for model generation.

3: Import data

On the map screen, use the Rectangle tool or Custom Polygon tool to make a selection.

Once you are satisfied with the selection, click the Import button.

GISBox will automatically load the data of the selected area into the scene, preparing it for the next process.

With accurate selection and data import, the system will have the geographic information required to generate the city model.

4: Generate City 3D Model

Find and click the Generate 3D Model option on the scene screen.

The system will generate a 3D model of the buildings and terrain based on the imported vector data and terrain information.

Once the model generation is complete, you can review and edit the model by dragging and zooming with the mouse.

Summary

GISBox provides easy and efficient tools and processes to help you go from scene creation to city 3D model generation in just a few steps. The “select from map” feature, accurate data import and automatic model generation allow users to quickly obtain high-quality 3D city models.

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Convert a GeoTIFF for Use with Cesium's Imagery Provider using GISBox

GeoTIFF is a commonly used file format for loading map images in Cesium. However, in order to load GeoTIFF files successfully in Cesium, they must be tiled and converted into a Cesium-compatible format. Below, we will explain in detail the specific steps from GeoTIFF files to loading them with Cesium’s Imagery Provider.

1. What is GeoTIFF and Cesium’s Imagery Provider?

1) GeoTIFF format

GeoTIFF is a georeferenced image file format that combines raster data and geographic information (such as coordinate system and extent). It is often used to store remote sensing images and map data.

2) Cesium Imagery Provider

Cesium’s Imagery Provider is an interface for loading and displaying various image data such as satellite images and map tiles. Common types include TileMapServiceImageryProvider and UrlTemplateImageryProvider.

2. Issues when loading GeoTIFF files with Cesium

Cesium cannot directly load GeoTIFF files. Therefore, you need to convert it to a compatible tiling format (such as TMS or WMTS). The process is described in detail below.

3. Procedure

Step 1: Create a tiling task

Create a new task in GISBox

Step 2: Import GeoTIFF file

Select “Imagery” option

Set tiling parameters

When creating a task, set the following parameters:

Tile level: Set the zoom level (usually 0–18 levels).

Step 3: Set tiling parameters and start tiling

Set output options

Output format: TMS (Tile Map Service) or WMTS (Web Map Tile Service).

Tile level: Select the appropriate zoom level depending on the usage scenario.

Output directory: Specify the destination to save the tile file.

Start tiling

Click the “Confirm” button to start the tiling task. The system will automatically generate tile files and save them in the specified directory.

4. Notes

Coordinate system consistency

Make sure that the coordinate system of the GeoTIFF file matches the Web Mercator (EPSG:3857) required by Cesium. If it does not match, you will need to perform projection conversion in advance.

Tile level suitability

The tile level should be set appropriately depending on the usage scenario. If it is too low, the image will be blurred, and if it is too high, the storage and loading load will increase.

Performance optimization

If you use high-precision images over a wide area, we recommend using a cache or CDN to speed up the tile service.

5. Summary

Through the above steps, you can convert GeoTIFF files and load them into Cesium as an Imagery Provider. By paying attention to the suitability of parameter settings and formats during the data preparation stage and the loading stage into Cesium, efficient image display can be achieved.