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Banking Business Census Data Immobilienunternehmen GIS Franchise-Mapping GIS Gesundheitswesen Versicherungen Alternative zu MapPoint Marketing und Sales Mapping Gebietszuordnung

Durchschnittliche Bewertung

42 Bewertungen
  • Gesamt 5 / 5
  • Benutzerfreundlichkeit 4.5 / 5
  • Kundenservice 5 / 5
  • Funktionen 5 / 5
  • Preis-Leistungs-Verhältnis 5 / 5


  • Startpreis 695,00 $/einmalig
  • Kostenlose Version Nein
  • Kostenlose Testversion Ja
  • Einsatz Cloud, SaaS, Web
    Installiert - Windows
  • Training Persönlich
    Live Online
  • Kundenbetreuung Support während der Geschäftszeiten

Angaben zum Hersteller

  • Caliper
  • https://www.caliper.com
  • Gegründet 1983

Über Maptitude

Die GIS- und Mapping-Software von Maptitude bietet die Tools, Karten und Daten, die du benötigst, um zu analysieren und zu verstehen, wie Geografie dich und deine Organisation beeinflusst. Maptitude ist die leistungsfähigste und am wenigsten teure, voll ausgestattete Mapping-Software. Maptitude wurde für die Datenvisualisierung und geografische Analyse entwickelt und verfügt über eine umfassende Bibliothek mit landesweiten und weltweiten Karten, einschließlich vollständiger US-Straßenkarten, Demografie und Grenzen (wie z. B. Datenerhebungsgebiete und Postleitzahlen).

Maptitude Funktionen

  • 3D-Bilder
  • Bild exportieren
  • Bildverwaltung
  • Dreidimensionale Analyse
  • Etikettierung
  • Farbkodierung
  • Geocoding
  • Internet-Mapping
  • Interoperabilität
  • Karte teilen
  • Kartenerstellung
  • Zensusdaten-Integration
  • Datenvisualisierung
  • Demografische Daten
  • Geocoding
  • Geofencing
  • Handelsraumanalyse
  • Prädiktive Analytik
  • Standortverfolgung
  • Verhaltensbezogene Analysen

Alternative Produkte

Die hilfreichsten Reviews für Maptitude

The best value for money for spatial analytics.

Bewertet am 14.5.2018
Murtaza H.
Associate Professor
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5 / 5
5 / 5
Eigenschaften & Funktionalitäten
5 / 5
5 / 5

Vorteile: I am more of a spatial analyst than a cartographer. Thus, what attracts me to Maptitude is the ease with which I can perform spatial analysis. Manipulating spatial data by creating spatial overlaps or buffers are just two examples. Once the data are ready, I can easily generate thematic maps, and if needed, run ordinary least squares or binary logit regressions from within Maptitude. In the past, I'd export data as CSV to Stata or R to run regressions. However, with Maptitude, I can test my preliminary hypothesis right there without running the risk of erroneous data translation from one software to another. Given that most if not all spatial data are correlated in space, one may need an estimate for spatial autocorrelation. With Maptitude 2018, I can readily generate Moran's I statistic to test the presence of spatial autocorrelation. The 3D Map feature in Maptitude 2018 is welcome. Now, one can generate a choropleth with two distributions where color may represent one variable and height represents another. As an example see the map at https://twitter.com/search?q=race%20and%20transit%20ridership&src=typd where I have plotted public transit ridership and the percentage of visible minorities in Toronto to highlight that transit ridership is more pronounced in racialized neighbourhoods. Given its strong transportation pedigree, Maptitude remains the best off-the-shelve GIS software for simpler transportation analysis involving networks and facility location.

Nachteile: Maptitude can be even better if it were to include the following: - The ability to record commands such that point and click exercises automatically generates a script that could be manipulated for repetitive tasks. - The ability to work with Google Maps and other similar APIs.
- An integration or coupling with R, Geoda, and Stata

Maptitude GIS

Bewertet am 10.3.2017
Richard H.
Clinical Associate Professor/ Senior epidemiologis
Krankenhausversorgung & Gesundheitswesen, 1.001-5.000 Mitarbeiter
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
5 / 5
5 / 5
Eigenschaften & Funktionalitäten
5 / 5
5 / 5
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: I am a public health scientist, epidemiologist, who studies the spatial/ geography of disease. This includes dealing with questions concerning disease clusters (e.g. several breast cancer cases in a neighborhood and its location to say, a toxic waste site) , the impact of air quality in some neighborhoods versus others, access to medical care and where people work, etc. When I started using GIS in public health about 20 years ago I started with Maptitude 3.0. I also had access to two other packages, ArcView and MapInfo. I attended a workshop in Iowa that used Maptitude and its cost was less than half of the other brands. (that is still the case) The cost really appealed to my boss and especially since Caliper included census data, rivers, streets, much more whereas the other vendors were charging the proverbial arm and a leg for data. Caliper still does this and includes even more. After a while I started teaching GIS to public health practitioners in my state (WA) and I learned the other packages because sometimes health departments had already bought software but no one knew how to use it. I made up a set of exercises all of which I could do in Maptitude but much to my chagrin about half I could not do in brands X. I taught in summer institutes which were a week long 8 hours/day. I found that by Monday afternoon we were making maps of all kinds and starting to do some really complicated stuff. With the other packages when I taught them it would be Wednesday afternoon before we could tackle the interesting problems. This has not really changed although brands X have improved a lot, but Maptitude has too and remains very easy to use, is stable, and has excellent documentation. You do not have to buy a bunch of extra books to learn how to use it. The PDF manual that comes with it is excellent. You really can teach yourself how to use it even for the most complicated problems. It remains the least expensive, comes with a ton of data, has excellent tech support done by people who get interested in what you are trying to do. But there is one more thing. I have a lot more to do than work (play!) with GIS - which I love to do. Maptitude is logically laid out and designed in a way that the procedures to do this or that stick with me even though sometimes I have to be away from it weeks at a time. Ordinary people can learn to use it; no need to be a GIS wonk. No need to necessarily hire a GIS technician.

Vorteile: Ease of use, logical sequence of steps for mapping procedures, quick making of several types of thematic maps, well designed procedure for spatial overlay -a critical feature for public health work, integration to Google Maps, routing capability, ease of selecting features, can be connected to ArcMap, 3D maps, buffers, unlimited number of columns and rows in the attribute data (not the case for other GISs- a big deal for public health data which often has 500+ columns) , Caliper's training videos, stability, tech support. Easy to make slides and fancy maps for presentations and publications. It is fast. Geocoding is quite good. I have geocoded a few hundred thousand death certificates in 30 minutes with a very high hit rate, sometimes higher than commercial geocoding companies. Video demos available through the Help menu. Merging, overlay, clipping, the usual GIS functions - straightforward. Provides a connectivity matrix to use for spatial modeling.

Nachteile: I would like to see more raster map capability, more higher level spatial analysis tools. However there are several open source/access tools which can be integrated with Maptitude to some degree. I would like to see the scripting language changed to Python. The current one is powerful but nothing like Python. The regression package should not be used to model spatial variables if you are interested in a real spatial regression as it does not take into account proximity. But Maptitude does provide a connectivity matrix of several orders which can be used in statistical packages like SAS, Stata, and R.

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