There is now a range of software for running GWR and carrying out GW modelling. GWR4 is a standalone Windows application. GWmodel is an R library of GW modelling functions which includes GW regression. There are GWR options in several packages, including ArcGIS, SpaceStat and SAM. There are also a number of other R packages including spgwr,and gwrr.
Software for GWR for fitting Poisson, Logistic and Gaussian models, GWR3x, with a Visual Basic interface, used to be available from the NCG. This software is no longer supported, and its continued use is not recommended.
GWR4.09 is now available and supersedes any previous versions. It can be downloaded from the link at the bottom of the page. This version of GWR is a new release of the Windows application software tool for modelling spatially varying relationships among variables by calibrating Geographically Weighted Regression (GWR) and Geographically Weighted Generalised Linear Models (GWGLM) with their semiparametric variants.
The GWR4 software was developed and programmed by Professor Tomoki Nakaya of the Department of Geography, Ritsumeikan University, Kyoto, Japan. The main new features of GWR4 are: Fitting GWR models: SGWRWIN (GWR4.0) enabling the user to fit a range of GWR models including conventional Gaussian models as well as its extensions based on the framework of generalised linear modelling including geographically weighted Poisson and logistic regression models.
New interface: The user interface has been largely rebuilt. A new tabbed interface is introduced so that a modelling session is intuitively proceeded by a step-by-step manner. Datasets and geographically listwise results can be viewed in separate spread-sheet like windows. A wider range of file types can be used for an input data file (space, comma, tab separated text formats & dbase IV format). Also, areal key field can be integrated into an output of GWR modelling so that you may join your output CSV file to a GIS attribute table by the key field for mapping the result in a GIS environment. A set of modelling specifications for the software can be stored in a file and used for a batch mode without window interfaces at a command line of MS-Windows.
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ENVI-met is a 3D microclimate simulation software. The software is used for a wide range of applications, including urban planning, building design, and energy efficiency, considering not only one single climate parameter, but all of them. ENVI-met can simulate a variety of climate conditions, including day- and night-time temperatures, humidity, wind speed, and solar radiation in cities. The software can also simulate the effects of different building materials, such as glass and stone, on the climate of the surrounding environments.
Thank you for your interest in the AM64x MCU PLUS Software Development Kit (SDK). This software accelerates application development schedules by eliminating the need to create basic system software functions from scratch.
SAM (Spatial Analysis in Macroecology) is a program designed as a package of tools for spatial statistical analysis, mainly for applications in Surface Pattern Spatial Analysis. SAM is mostly used in the fields of Macroecology and Biogeography, but also in Conservation Biology, Community and Population Ecology, Geography, Geology, Demography, Econometrics, Psychology and Epidemiology. In short, if you are a scientist investigating patterns and processes that are geographically structured, SAM is what you were looking for! SAM is used worldwide by thousands of scientists, in more than 50 countries, as their primary tool for statistical analysis. In fact, a paper published in Global Ecology and Biogeography to announce SAM for the scientific community has a citation rate of ~50 new citations per year. It shows how much SAM is accepted and used as a valuable analytical tool in science. Download SAM today and join the thousands of SAM colleagues around the world! Yes, there may be no such thing as a free lunch, but there is FREE SAM! It runs beautifully under Microsoft Windows, and has a user-friendly, menu-driven, graphical interface. All these amazing tools are available to you at the click of your mouse! Just download SAM and you will soon note that SAM is extremely simple to install and very intuitive to use. A SAM update (v4.0) was released in June 2010, improving and fixing some issues present in v3.1. We thank the hundreds of SAM users that contributed to the development of SAM by sending suggestions and reporting bugs. The last SAM version (v3.1) was released in April 2009, with several improvements over earlier versions. You did not think it was possible, but SAM graphical interface is now even better! Shortcut buttons with cool icons put the most used statistical methods closer to you, anytime during analysis. If you are interested in any graph in SAM, just CTRL + Right click on it to copy either the graph figure or the graph data to the clipboard, which can then be pasted in any program. We are sure you will be thrilled by the new Model Selection and Multi-Model Inference module. Data exploration and model fitting was never so easy and intuitive. Just select potential explanatory variables and let SAM apply Akaike Information Criterion (AIC) to find the most parsimonious linear model. Easy as three clicks! Want to study the geographical distribution of a species based on presence/absence data? Make sure you check the new Logistic Regression Module, which makes binary linear modeling extremely easy and intuitive. If you have a reason to think that multiple spatially structured processes are driving your data, you should try the new Geographically Weighted Regression (GWR) module. Spatially explicit local regression was never so easy and fun! As usual in SAM all maps resulting from analysis will be under the reach of your mouse! Data management in SAM is really easy! SAM is compatible with text files (.TXT), DBASE tables (.DBF), Excel spreadsheets (.XLS) and ESRI Shapefiles (.SHP). With that much compatibility, SAM will certainly be able to easily open your dataset. SAM is CPU friendly! That means that if you have a multi-core computer, SAM will take advantage of the computational power and perform multiple calculations simultaneously. You will notice that SAM is a very powerful yet light software! Forget about those expensive, command-line statistical packages that are full of keyboard commands that you have to remember every time you need to analyze a new dataset. Now you will no longer need to ask your colleagues about that particular command you always forget (it happens to everybody). Just click your mouse and you will quickly have all results you need, analytical or graphical, in a concise form, right on your screen. SAM is fully integrated to the GIS world, and allows users to import data from and export data to ESRI ShapeFiles. You can use the GIS map module for a detailed investigation of results of statistical analyses, or you can save your data in a shapefile to open in another GIS platform. Say goodbye to the waste of time on data transfering between softwares: SAM reads and writes about all file formats! SAM has the most user-friendly and intuitive GIS interface among statistical packages. With just a couple of clicks you can produce fine-art GIS maps, easily customizable... ready to publish! You can map polygons, points or grids. You can categorize the variation using color classes easily. The program has a graphical interface especially designed for an intuitive exploratory data analysis. Each module has a full set of analytical and graphical results that are automatically displayed when you ask SAM to compute some statistics, allowing an interplay between model computation and evaluation. But it is not all! For your convenience, SAM does not require those nagging stops to re-evaluate spatial autocorrelation in the residuals every time you compute a new model, it just analyzes the residual spatial structure instantaneously! With SAM you will experience state-of-art statistical spatial analyses of surface patterns. Take a look at what SAM offers you: Several graphical options, including 2D or 3D scatter plots. Tools to explore the values of the data straight from the graphs. Instantaneously adjust polynomial to your scattersplots up to sixth order. Easy and fast smoothing tool for 3D scatter plots.
GeoDa is a free and open source software tool that serves as an introduction to spatial data science. It is designed to facilitate new insights from data analysis by exploring and modeling spatial patterns.
Since its initial release in February 2003, GeoDa's user numbers have increased exponentially to over 520,000 (June 2022). This includes lab users at universities such as Harvard, MIT, and Cornell. The user community and press embraced the program enthusiastically, calling it a "hugely important analytic tool," a "very fine piece of software," and an "exciting development." 2b1af7f3a8