Archive for the ‘geographic information systems’ Category

3 in 1: GIS as a tool, toolmaking and a science

Monday, January 23rd, 2012

It is difficult to reach consensus in an interdisciplinary field. Wright et al. clearly display this by bringing forth conflicting definitions of GIS, along with general comments that add more depth to the debate. As discussed in class, the definition of GIS as a science is necessary for political and financial agendas due to funding, credibility and legitimacy. However, this should not rule out the GIS field as toolmaking or a tool, in addition to science. Wright et al. state one defining characteristic, “the answer [on the definition of GIS] depends on who is involved”, where, for example, GIS developers could see it as a science, and students could see it as a tool (350). Thus, I take all three positions — tool, toolmaking and science — on GIS to be valid.

In the article, science is defined as discovery, exploration, and problem understanding not invention (351). However, science was founded by theories. Theories and frameworks have been invented. Thus, indirectly, could science also be an invention? What makes up GIS is highly convoluted, therefore it would be safe to assume that a combination of invention through toolmaking, discovery of new facts through the use of the tool can be combined. There is intrinsic meaning behind a tool simultaneously derived from invention and discovery. The debate over the definition of GIS is overwhelming, however the authors steer us in the right direction. Wright et al. conclude that “older notions of science as the equivalent of ‘hard science’ are being replaced by a more open view [of science]” (358). Progress is seen through difference, which is promoted rather than stifled. In addition to progressive inclusion, the authors’ contend GIS is perceived as a “phenomenon” that encourages discussion and critical thought. I believe this to be a significant shift of perceptions on discovery, practicality and utilization rather than on a specific definition.

Wright et al. (1997). Forum GIS: Tool or Science?

Henry_Miller

GIScience and uncertainty

Monday, January 23rd, 2012

The article was thought provoking, addressing numerous accomplishments, research agendas and challenges. I appreciated the author’s self awareness and frank statements when addressing his own limitations. At times, it was overwhelming as there were a lot of points covered with 20 years of theoretical and empirical accounts of GIScience.

From the challenges mentioned, I found the notion of uncertainty intriguing; a concept that is highly influential yet largely ignored. Goodchild’s conceptual framework for GIScience elucidates how the human, society and the computer are interlinked by many variables (e.g. spatial cognition, public participation GIS, data modelling). “Uncertainty” dominates the middle of the triangle, however 3 out of the 19 papers — that were most cited, and considered classics over the last 20 years — analyzed by Fisher “report work on uncertainty” (9).

The article notes Tobler’s Law and its implication that “relative errors over short distances will almost always be less than absolute errors” (12). According to Goodchild, this has significant implications for the modeling of uncertainty. From this, it can be inferred that we have confidence in addressing an issue due to its proximity, where a relative error is less intimidating than an absolute error. Goodchild further notes the transition made in our thinking about GIScience from “the accurate processing of maps to the entire process of representing and characterizing the geographic world” (11). The emphasis on the GIScience thought process has been shifted away from accuracy on a micro geographic scale in relation to maps, towards a characteristic and representation on a macro, global geographic scale. Moving from a micro to a macro scale will entail more uncertainty, while the aim is to increase accuracy these are contrary in nature.

Despite uncertainty seen as an obstacle to GIScience progress, Goodchild takes note of it as also being a salient factor in “potential undiscoveries” (6). The process of government’s adoption and application of GIScience, and further work on third, fourth and fifth dimensions, and the role of the citizen through neo-geography and VGI are all very exciting and revolutionary.

Goodchild. (2010). Twenty years of progress: GIScience in 2010.

Henry_Miller

The Role of the Citizen and GIScience

Monday, January 23rd, 2012

Goodchild posits that the “breaking down of traditional barriers between expert and non-expert has already led to widespread awareness of the power of GIS among the general public” (p. 13). He also notes that more recently, there has been a shift in GIScience to allow for a more basic understanding for everyone, away from a focus on experts within the field. As the amount of volunteered geographic information (VGI) increases, it is likely that the shift from error to uncertainty may also continue as GIS becomes less concerned about technicalities (science) and more about rethinking how to represent our world (tool-making).

On the other hand, Goodchild discusses the ability for technology to dynamically monitor various aspects of the Earth. Improvements in geographic sensors such as RFID can vastly increase the amount of accessible data. As discussed in class, the development of many fields such as computer science have progressed from being a tool, to toolmaking exercises, and lastly to becoming a science. Perhaps we are witnessing this transition taking place in GIS as well, but what does this mean for volunteered contributions and incorporating human values into GIS?

Citizen engagement will arguably increase if it is understood that a wider range of values and perceptions can be better incorporated (through more universal usage of GIS and technology improvements) into how we rethink the representations of our environment. If the concern is an access to funding and resources, perhaps the GIS as a tool vs science debate will become irrelevant as the popularity of GIS grows and as citizens become increasingly both the producers and consumers of geographic information.

Goodchild, Michael F. (2010). “Twenty Years of Progress: GIScience in 2010.” Journal of Spatial Information Science, 3-20.

– jeremy

GIS as Toolmaking

Monday, January 23rd, 2012

Wright et al. question whether or not GIS can withstand the stress of such varied usages, which demand that “critical analysis and reflection extend beyond the techniques of toolmaking to encompass questions about the social responsibilities of toolmaking” (p. 356). In a bid to assert its role within the scientific community, GIScience has arguably relegated many aspects of human geography to the sidelines. In terms of gaining access to sources of funding, it is understandable that many would take this position, since incorporating the values and varying perceptions of human beings might be considered a ‘soft’ science.

Despite this, perhaps distancing itself from traditional notions of ‘value-free’ science is where GIS finds its strength. It seems as if our understanding of human geography may be muddied by scientific theories, which have the ability to prove contradicting opinions. Look at the climate change debate, for example, which may seem to only involve ‘hard’ science, but is complicated by the fact that it directly involves the way in which people live. Is it possible for this kind of science to be effectively applied to dynamic societies when the need for social change is present?

When GIS projects are developed, they are able to consider their intended use and the values of those affected throughout every stage. A project aimed at improving Montreal’s accessibility for disabled people, for instance, may incorporate a variety of perceptions of the city, which change depending on season, age, level of disability, etc. It is possible that through improvements in technology and our ability to graphically represent many ways of seeing the world, GIS as toolmaking allows us to include the societal effects as best as we can.

Wright, Dawn J, Michael F. Goodchild, and James D. Proctor. (1997). “ForumGIS: Tool or Science?: Demystifying the Persistent Ambiguity of GIS As ‘Tool’ Versus ‘Science’”.  Annals of the Association of American Geographers, 87,2, 346-362.

– jeremy

Re: GIS – Tool or Science? The Chicken or the Egg: GIS or GIScience

Sunday, January 22nd, 2012

The article by Wright et al in 1997, describes three positions on GIS, that of a tool, that of toolmaking and that of a science and summarizes the debate on these three positions based on listserve discussion from 1993. I agree that these positions exist but do so in harmony. However, it seems to me that there should be some consideration of the evolution of the tool of GIS in terms to the thought process that led to its development as it was not arbitrarily designed but was designed for a specific purpose following specific principles. I would argue that geographic information science was needed to develop geographic information systems and since that time, this science was not eliminated but forgotten and is only being consciously rediscovered at present.

As for any discovery or new knowledge or awareness on a subject gained through science, a problem or issue must first be recognized as requiring additional analysis. In this case, it was necessary to recognize that a more sophisticated and faster way of overlaying data could be accomplished on a computer than by hand. From this, additional geographic information was stored and analyzed on a computer in GIS. The decisions of how exactly to do this were based on knowledge from various disciplines such as statistics, economics, cartography, computer science and geography (Goodchild 2010 p.5) and were the roots of GIScience. In my opinion, these decisions, although perhaps made by only one of these disciplines such as the data models produced by computer science or that spatial adjacency mattered from geography, have now been synthesizes under the name of GIScience. That neither of these individual disciplines could produce and utilize GIS on their own suggest that there was out of necessity a new science was created to combine and further examine issues.

Thus, the roots of GIScience, the decisions that were made before GIS could be created, preceded GIS itself and it is only now that GIScience has been given a name and debate has arisen over what exactly it encompasses as science. To me, it is the decisions that were made in the creation of GIS that constitute GIScience as these decisions could have taken different paths at the time of creation and the concepts and questions of GIScience today as noted by Goodchild (2010, p.7) were addressed originally in some intrinsic and perhaps unintentional form in the creation of the first GISs. GIScience evolves today as these initial decisions are critically examined in terms of their impacts on research using GIS as a tool.

Wright, Dawn J, Michael F. Goodchild, and James D. Proctor. “ForumGIS: Tool or Science?: Demystifying the Persistent Ambiguity of GIS As ‘Tool’ Versus ‘Science’”. Annals of the Association of American Geographers. 87.2 (1997): 346-362. Print.

Goodchild. 2010. Twenty years of progress: GIScience in 2010. Journal of Spatial Information Science. 1(2010) pp.3-20

-Outdoor Addict

GIS(cience)’s place in society

Sunday, January 22nd, 2012

Wright et. al have an interesting methodology for analysing the debate on the status of GIS(cience). Unforunately, graphing GIS-L posting on the “GIS as a Science” topic is probably not quite as helpful to the analysis as a  literature study, questionnaire, or live conference. We should remember when reading this paper that the frequency chart does little to show the state of debate, especially with such low frequencies (rarely more than 1-2 postings per day). However, the paper is still able to highlight and explain the arguments for all sides.

One area neither paper looks into in great detail is the state of the GIS industry and related industries. This is important as the academic GIS scene is only secondary to the economic output GIS produces. Looking at the state of industry today though, it is clear that GIS, whether you see it as just the software and hardware tools, or as a way of thinking, is here to stay. Demand for the technology will not disappear, nor become obsolete. Therefore, one can be pretty certain that we will be doing GIS in the future, no matter what form it takes. This can bring some to question whether the debate on the status of GIS is necessary at all (the short answer is ‘no’). It may eventually be that GIS becomes so ubiquitous that it becomes ‘too integrated’ into our lives, and certain knowledge of software and/or techniques becomes common knowledge within other fields. However, GIScientists should still ask themselves – “what would industry be like if there was no one to care about GIScience problems – problems of visualisation, resolution, data management and so on”. How would GIS systems have turned out if they had solely been developed by computer scientists or cartographers? Regardless of whether or not GIS is a science or tool, there will always be people around to think about GIScience problems, and that is what should matter, not the survival of research labs or government grants (in the current market, I am optimistic that money will not be too much of a constraint). GIS is in one of those positions where it can be influenced by any number of fields, since its applications are so wide-ranging. This makes it very flexible and greatly increases the chances of growth and advancement of techniques. Trying to narrow GIS into a definition of a science may not be the best approach if one wants to promote development, especially since GIS is so dependent upon the its tools and toolmaking characteristics. Currently, GIS is generally taught as more of a tool in university. The technique-based approach is certainly useful in created a workforce skilled in GIS analysis. In the computer industry, the two main degrees one can receive are an IT degree or a Comp. Sci degree, both of which are very different from one another. I think it is accurate to approximate the former to the ‘tools’ approach, and the latter as the more ‘science-y’. GIS right now tends to be viewed as akin to IT management – the challenge right now is to either turn it into Computer Science, or somehow split the two.

GIS is a field very much based upon computing technology, and as we well know, the advances in computing are often so fast and surprising, that it is difficult to predict even 5 years into the future. If the question of GIS’s status is not resolved today, it may very well be in 5-10 yrs depending on what new advances come up.

On a side note, I don’t have any definite areas of interest in Geography, but may be interested in looking at human-computer interfaces for the project.

–Peck

On the Ontology of Science

Sunday, January 22nd, 2012

When we think about whether GIS represents a science or a tool, we must consider how exactly do we define science. Wright et al throw around a huge number of terms without defining them when considering just this question. Some of their suggested approaches to understanding how science explains the world include humanism, positivism, structuralism, empiricism,  realism, Marxism, and postmodernism (353). The article concludes with an analysis that suggests positivism holds the most explanatory power for understanding the world. However, they decline to take a strong position, admitting that they don’t want to “downplay the explanatory power of these alternative, non-positivistic approaches” (353). For those of us unacquainted with the philosophy of science, what exactly does this debate over the definition of science actually mean?

Positivism represents the view most of us heard in grade school where science consists of a view that in both the social and natural sciences, sensory experiences and their logical or mathematical treatment (through testing) represent the exclusive source of all worthwhile information. However, if we consider science through a humanistic lens that places human values at the center of all inquiry or a postmodern perspective that repudiates objective, sensory observation in favor of viewing reality as a social construct, our definition of science changes dramatically.

As this definition changes, so to does our consideration of whether or not GIS can be viewed as a tool or a science. From the approach of a positivist, GIS can be thought of both as a means for observing and testing data (as a tool) or a method for treating types of geographic data and examining research questions (as a science). Yet if we take a postmodern perspective, does GIS hold any weight (beyond being a tool) as a discipline reliant on particular methodologies which reveal self-evident truths about the world? Although Wright et al do a great job with their primary task of covering the GIS tool vs. science debate in their article, their lack of specificity on how to define science opens the door to a variety of theoretical questions.

– climateNYC

GIS and its Conceptual Framework

Sunday, January 22nd, 2012

Goodchild recounts eight topics that outline the research agenda for GIS, and how they fit in a conceptual framework which “[combines] three domains in different proportions,” (6), namely, the computer, the individual user, and society. Put forth in 1992, there are great additions and alterations that need to be made to modernise the framework.

For one, with the advancement of the GeoWeb 2.0, I think “public participation GIS” is better suited to have a greater proportion of society in the conceptual framework (over the human). Participatory GIS is so influential in part because of the sheer volume of it. People all over the world are creating maps in different ways, and mostly in a collaborative setting. For VGI to be beneficial it needs to come from a vast array of sources—used and updated by all of society, not one individual user.

A few additions to the framework include augmented reality, cloud computing, perhaps the geoweb itself. Geographic information is advancing at an incredible rate, and GIS needs to account for such changes. Society is playing a larger role, but how will GIS incorporate semantics and natural languages, for example, or different representations of place? We need to organise these different technologies and facets of GIS in a comprehensive (and user-friendly) conceptual framework in order to fully exploit the benefits GIS can bring to the understanding geographic information.

Goodchild, Michael F. “Twenty Years of Progress: GIScience in 2010.” Journal of Spatial Information Science. (2010): 3-20.

– Sidewalk_Ballet

Systems or Science?

Sunday, January 22nd, 2012

The ambiguity and debate of what GIS actually is convoluted, and the intricacies are accented by the exchangeability of the ‘s’ in GIS. Systems, science, studies—what should we call it? Does it make a difference, and who cares? The point of legitimacy from the Wright et al reading and class discussions stands out as unveiling the business behind the sciences, but how is this being followed through in practice?

McGill is a research university and the program is called Geographic Information Science, which according to Wright et al should “measure progress based on the accumulation of research results and contributions to human understanding,” (358). However, after taking a handful of GIS courses it seems to me that GIS is being taught as a tool, with the emphasis being placed on “their essentially technical, service orientation” (357). It’s undeniable that GIS is on a spectrum, and I think that it is one that the user (scientist?) will move across with increased familiarity. How can GIS be used as science without the initial introduction to it as a tool?

From my point of view GIS can be a tool, toolmaking, and a science at different times. I don’t think the McGill program is providing an equal focus on all facets (at least in the 300-level classes) despite being called “science”. There is great stress on applications, but I feel the “science of GIS” as I now understand it may be shorthanded, and I hope to see more of it in 506.

Wright, Dawn J, Michael F. Goodchild, and James D. Proctor. “ForumGIS: Tool or Science?: Demystifying the Persistent Ambiguity of GIS As ‘Tool’ Versus ‘Science’”.  Annals of the Association of American Geographers. 87.2 (1997): 346-362.

– Sidewalk_Ballet

Affirming GIScience’s Place in the Academy

Sunday, January 22nd, 2012

When we read Michael F. Goodchild’s review of the last 20 years of GIScience, we should be careful to note that he “does not pretend to be entirely objective” (3) in outlining his views. In particular, he goes to great length to argue that GIScience functions as a distinct scientific discipline. Although he does devote some space to the debate over whether GIScience represents a tool or science (4), Goodchild leaves little room for the dissenting view that GIScience could be viewed simply as a tool for other disciplines. In fact, he unequivocally states that the field presents “substantial research issues” that can only be solved by using the methods of GIScience (15-16). Although he calls for other practitioners in the field to reflect on the past 20 years, his aim – both in his manner of treating the subject and in what he writes – appears  to both define and establish GIScience as a sub-discipline or science in the already jam-packed academy.

In noting GIScience’s establishment, past accomplishments and possible future directions, Goodchild writes there’s “no danger” this area of study will “be absorbed into one of its intersecting disciplines” due to the “well-defined, persistent” nature of the problems that this science addresses (16). Goodchild most clearly lays out his agenda of GIScience as a discipline in Figure 1 (“A Conceptual Framework for GIScience”) by organizing various topics in GIScience according to their relationship with human beings, society or computers. This organization resembles a similar one taking place in many departments whereby researchers attempt to locate their own research questions in terms of where they might sit on a spectrum that includes both human or natural science approaches. It implies the universal, organizing principle of GIScience as a lens through which these questions should be viewed. In fact, Goodchild references the definition of geography as a science (4) before providing several definitions of how GIS also represents a lens or science (6).

As we noted in class, defining GIScience in this manner holds important implications for the discipline and for the universities where it’s taught. Just as the creation of distinct statistics departments or environmental science programs can both shape the educational program for students and the funding opportunities for researchers, Goodchild’s view of GIScience could influence future developments in the field. Having just come from a graduate marine science program that treated GIS only as an important tool worthy of a certificate showing proficiency, I can see how these questions could be central in defining how universities or other fields treat GIScience as it grows and evolves.

– climateNYC

A changing definition for “science”?

Sunday, January 22nd, 2012

20 years of progress: GIScience in 2010 (Goodchild)

I thought it was interesting how 2 out of the 3 participants Goodchild interviewed had an issue with the word “discovery” when asked about “the ten most important discoveries of GIScience to date” (7). On one hand Marc Armstrong replaces “discovery” with “transformations”, namely from one medium (paper) to another (computer) while Sara Fabrikant replaces the word with “rediscovery”; to her, GIScience is more about seeing the world from a new light. Further, these 2 participants both emphasize the idea that GIScience is the combination of many disciplines and its research is performed in “… a variety of scientific paradigms” (9). Both participants seem to value GIScience as a field that takes an amalgamation of knowledge we already know and applies it to spatial information to access new knowledge that we otherwise could not. They acknowledge GIScience not as a “new” science per se but as a new science born from previous fields of study.

At this point, Network Science springs to mind. Many things about the relatively recent development of network science are similar to that of GIScience. Network science, like GIScience, is interdisciplinary; it draws from and has relevance to many fields. Although scholars have studied networks long ago, they had few unifying theories to show to it, which motivated the formation of a Network Science. The National Research Council writes:

“Despite the tremendous variety of complex networks in the natural, physical, and social worlds, little is known scientifically about the common rules that underlie all networks. This is even truer for interacting networks. Ideas put forth by scientists, technologists, and researchers in a wide variety of fields have been coalescing over the past decade, creating a new field of thinking—the science of networks…
Does a science of networks exist? Opinions differ” (p. 7).

Perhaps these developments in Network and GI Science support the idea mentioned by Wright et al. of a change in the understanding of what constitute as “science” in the modern world.

National Research Council. (2005). Network Science. Washington, DC: National Academies Press, 2005.

-Ally_Nash

Tool and toolmaking wihtout a science?

Sunday, January 22nd, 2012

GIS: Tool or Science? (Wright et al.)

Plotting GIS along a continuum of tool, toolmaking and science really helped me clarify my thoughts when it comes to thinking about what we actually mean by “doing GIS”. Personally, I think GIS must be all three things simultaneously. For instance, if GIS was merely a tool, a means to an end, one still needs to choose the appropriate analysis and to interpret the output. How do you judge whether your analysis is appropriate without others studying it through application? Or judge whether your data sets accurately reflects reality? These questions must be explored through GIS research.

However, how the concept of GIS as “toolmaking” can be separated from GIScience is still unclear to me. According to Wright et al., a GIS toolmaker should be able to perform critical analysis of/reflect on the technology’s capabilities and think about the social impacts of the tool (356). But how does one critically analyze and reflect on how well the tool is performing without also being a GIScientist? What kinds of criteria are used to judge whether a tool is good (aka able to visualize/model spatial concepts “correctly” with GIS)? Otherwise, how is a GIS toolmaker any different than a computer scientist or software engineer? This leads me to two conclusions: 1) GIS cannot occupy only one of the three positions on the continuum and 2) the next generation of GIScientists must also well versed in computer languages.

I would have really liked to see the authors elaborate on this new emerging notion of science that is more open. Science is then defined as “the pursuit of systematic and formulated knowledge and as such [it] is not confined to any particular epistemology” (358). How important is it to have to closely tie science to epistemology (positivism)? If we agree with this new definition, can History be considered as much of a “science” as Biology?

– Ally_Nash

Future issues of GIS – Goodchild reading

Sunday, January 22nd, 2012

 Goodchild’s (2010) summary of the progress of field-defining debates in GIS over the last 20 years points out several issues. He briefly reminds us of the GI Systems vs. GI Science debate, lists advances and newly identifiable theories in GIS, and poses important questions for the future. Of these issues, two stand out to me as the most pressing for public perception of GIS and the nature of GIS’s data.

How GIS manages to formalize the representation of spatial phenomena across scales is crucial to a wide range of fields. Current tools such as inverse distance weighting allow for interpolating and assigning weights based on geographic location. Even the now-ubiquitous way Google Maps has visually represented different scales (finer details visible only when you zoom in close) has changed how the public imagines different levels. The widespread impact of how GIS represents different scales has enormous potential in facilitating negotiations and public opinion on battles that require mass coordination, such as mitigating climate change. Imagine how the limitations of our current national environmental regulations could be exposed if intuitive software was developed that could easily show the origin and travel of acid rain clouds from individual factories.

Goodchild’s second major point involves the future of volunteered geographic information (VGI) in a world that is increasingly wired and sensored. There is a major deterrent to continued VGI contributions when the “knowing where everything is, at all times” is not properly regulated to handle privacy concerns. This also brings into question how much data in the future will be comprised of VGI, and how much by private interests. The proper intersection of convenience, security, and quality needs to be discussed to ensure that the average citizen’s VGI is fairly represented and is not repurposed by private companies.

– Madskiier_JWong

GI Systems vs. GI Science – Wright et al reading

Sunday, January 22nd, 2012

Wright et al.’s paper provided a summarized history of the debate over GIS as a tool or a science and opinions from a forum exchange. I felt that our in-class discussion overemphasized the societal pressures that favour those fields popularly deemed “sciences”. While politicization undoubtedly plays a role, I also accord sciences merit by whether they offer a fundamentally different way of understanding something (and thus generate new knowledge).  

A sticking point from some of the opinions shown in Wright’s paper emphasized that GIS is a tool and a feat of engineering. If this is to be accepted, progress in GIS should be measured merely in terms of faster computing, greater data storage, more efficient processes – linear improvements. Yet, innovations like the incorporation of streaming data provide a new understanding of the temporal dimension of spatial phenomena. Perhaps geographically distanced people tweeting at the same time may be more socially similar than we would expect based on their isolation from one another. Immediate reports about a flood may emerge from a spatially clustered origin, reflecting new understandings of emergent behaviour. Both these examples escape being labelled as simple technological advancements because do-ers of GIS take this raw data and run it through a suite of their own manipulations and methods (e.g. geocode, vectorize, overlay).

Implicitly then, there is evidence of a conscious and rational decision to represent data as maps with linked attribute tables. GIS fundamentally offers a different understanding of what a police station may be: engineering perceives it as load-bearing pillars, level surfaces, and well-joined edges. GIS offers topology, relationships to surrounding polygons, and a correlative effect with nearby crime rates. Thus, I would argue terming GIS as a science has some merit beyond societal pressures.

– Madskiier_JWong

the ‘Modifiable Area Unit Problem (MAUP)’

Saturday, January 21st, 2012

Posted by sah:

My interest in Geography lies primarily with issues of health, and human interactions with, and interpretations of, their environments with regards to their health. On that note, in another class I recently completed a literature review discussing the mental health literature and the interpretation of the terms (and thus, environments) “urban” and “rural” as variables influencing depression. I found a great lack in both the quantitative and qualitative description of these terms–most went no further than to throw out a number of people, not even necessarily a density. I think this would be a really interesting subject with which GIS could interact (as a tool, a science, who knows?). What I would like to do is present my seminar on the topic of Modifiable Area Unit Problem (MAUP), and tentatively, in my project, look at how the areas given for the population densities used to define a certain environment (urban or rural) will greatly influence the final qualities of said environments. What is the value and justification given behind the areas for various governmental classifications, for example the Census Metropolitan Area and Census Agglomerations? Hopefully, this problem of “urban” vs. “rural” will lend itself well to an explanation and investigation of the MAUP.

GIS on a Continuum

Saturday, January 21st, 2012

Posted by sah:

I think the debate surrounding whether GIS is a tool or a science may have been blown out of proportion in the field of GIS. In fact, I particularly agree with the idea put forth in GIS: Science or Tool? which suggests that GIS may exists along a continuum, from tool to toolmaker to science. Despite this suggestion, the way the author dwells on GIS as a computer application in this paper in my mind express both an underestimation of the power of GIS, as a tool or science, as well as mark on this paper as outdated, a product of its time (1997).

The authors quote Tomlinson, saying, “…Tomlinson was clear enough in his definition of a GIS as a computer application designed to perform certain specific functions…”. To me this implies that GIS is little more than a computer application—a fact repeated later in the article, when the authors say, “Many of those who argued on the ‘tool side’ of the issue could not see how a computer application could be described as a science”. I would argue however that GIS is spatial analysis that can be facilitated by Geographic Information Software. An example discussed in class involves community participatory mapping as a form of GIS, without using a computer, but still ultimately creating a functional product to analyze the space in which this community lives. And this can be made into data points to be input into a computer, if necessary.

So to put it briefly, whether GIS is a science or tool, we must realize today that we cannot underestimate it, for it continues only to evolve, as we can see from the ideological change over just 10+ years since this article was published.

Wright, Dawn J, Michael F. Goodchild, and James D. Proctor. “ForumGIS: Tool or Science?: Demystifying the Persistent Ambiguity of GIS As ‘Tool’ Versus ‘Science’”. Annals of the Association of American Geographers. 87.2 (1997): 346-362. Print.

Twenty Years of Debate

Saturday, January 21st, 2012

Posted by sah:

Twenty Years of Progress… to me, this translated to Twenty Years of Debate. While reading Goodchild’s article on the evolution of GIScience, the question that came to mind was really, “Why are we still debating”? GIScience, as it is defined by Goodchild, has evolved as a technology, and perhaps discipline, but also largely as a debate, over the last twenty years—and it would appear that it really has been debate that has dominated this field for its recent history. In class we came up with some interesting reasons as to why the debate may still be raging—legitimacy as a field and science, and thus funding and prestige for practitioners being a large aspect of this. That may be all well and good, albeit a topic for another post, but as a topic of Goodchild’s article, I was a little disappointed.

The debate is surely interesting, but was not, according to the abstract and introduction, what the article was expressed to be about: history AND accomplishments and future advancements. There could have been much more emphasis on the successes and evolution, and not just who deems a success a success. Goodchild’s personal reflections and the institutional accomplishments were most interesting, as well as the final section, Looking to the Future. This encapsulated what I anticipated of the article, and highlighted critical thoughts, most interestingly, the proper education of such a rapidly evolving and increasingly popular [tool, technique, science], and the way it can be used by the public. The proposed advancements raise a lot of questions about how GIS can be applied in the future, and what challenges this may present. In my mind, this could in fact be a reason to continue the debate: will we consider this a tool to be properly taught, or a science to be above the everyday use and understanding of the citizen?

Goodchild, Michael F. “Twenty Years of Progress: GIScience in 2010.” Journal of Spatial Information Science. (2010): 3-20. Print.

can geospatial technologies benefit the poor?

Sunday, February 14th, 2010

From student, AK, Intro GIS, taken from GIS, GPS, and Remote Sensing by Uwe Deichmann and Stanley Wood

The role of information and communication technologies in assisting rural development is drawing increasing attention. It promises to help isolated and disenfranchised communities transform themselves into development participants who are better informed and integrated.

GIS provides tools for visualizing, integrating, and analyzing spatial data and a unique capacity to merge information from many sources. By using a common spatial framework, GIS enables users to analyze how physical, social, and economic factors interact. Constraints to widespread use of GIS have been its high cost and complexity and the difficulty of obtaining geographically referenced (geo-referenced) data. However, as the technology has become cheaper and less complex, it has become more accessible to non-specialists.

GPS and remote-sensing techniques have reduced the problem of obtaining geo-referenced information. For instance, most field surveys now use GPS to capture the location of sample points, such as plots or households, enabling easy visualization of survey results and integration with other geographic data. GPS receivers range from the handheld models that are inexpensive, easy to use, and provide coordinate accuracy of about 10 meters to differential receivers that yield accuracy in centimeters. Great advances also have been made in remote sensing and aerial photography. Image processing techniques generate digital maps from aerial photos or satellite data that combine the accuracy of a topographic map with the richer contextual information of a photograph.

Until recently, geospatial technologies have benefited the rural poor mostly indirectly, by generating improved information for research, policy analysis, planning, and monitoring. Precision farming techniques are used in high-intensity commercial agriculture, where detailed location information determines, for example, the level of fertilizer applied to each portion of a field. However, the capital, maintenance, and training requirements are well beyond the means of most farmers in developing countries, particularly smallholders whose small field sizes make these technologies uneconomic.

One of the most direct applications of GIS in developing countries is participatory mapping, where, for example, specialists interact with farming communities to create spatial inventories of natural resources, property status, land-use rights, and perceived problems. Such inventories feed into a consultative process aimed at building consensus on more equitable and sustainable resource-management arrangements. Community mapping can also help foster the process of transferring greater decision-making power and fiscal responsibility to local levels of government. GIS is increasingly being used widely in parcel mapping. Without proper land registration, it can be argued that formal land markets are less efficient and the incentives to invest in land conservation might be limited.

Questions can arise about the political economy and sustainability of GIS approaches applied at the community level, and research on those issues has given rise to a literature on Public Participation GIS (PPGIS). Research primarily addresses concerns about GIS as an invasive technology that benefits a few elites and institutions while marginalizing the very people it’s supposed to help. While this work has often focused on developed-country experiences, its concerns are even more pertinent to poor communities in developing countries. PPGIS issues include:

  • Changes in local politics and power relationships resulting from the use of GIS in geospatial decision-making.
  • The effects of differential access to GIS hardware, software, data, and expertise
  • The educational, social, political, and economic reasons for lack of access and exemplary ways in which communities have overcome these barriers
  • The ways in which socially differentiated communities and their local knowledge might best be represented within GIS
  • GIS as local surveillance
  • Identifying public data policies that positively or negatively influence small-scale local businesses.

Geographic information technologies will continue to provide considerable indirect benefits through better-informed policymaking, research, planning, and development support by both government and non-government agents. But we need to continually reexamine the direct benefits.

Take for example, the “2020 Vision for Food, Agriculture, and the Environment“. This is an initiative of the International Food Policy Research Institute (IFPRI) to develop a shared vision and a consensus for action on how to meet future world food needs while reducing poverty and protecting the environment. Through the 2020 Vision initiative, IFPRI is bringing together divergent schools of thought on these issues, generating research, and identifying recommendations. In an initiative such as this, GIS can be used extensively to identify and model any aspect that is spatially distributed, for example, mapping gender assets, tracking movement of food from rural to urban areas, conducting site selections of optimal farming locations by crop, modeling equitable water allocation, and possibly applying precision agriculture.

IFPRI promotes a vision for food access for the greatest good, that assists the poor while not irreparably hurting the environment. But who might get left out in a consensual “greatest good” vision? Women’s subsistence farming but not men’s cash crop farming? Women in these developing countries often have their own local knowledge about food production that differs from men. What if the communities themselves want to map and analyze: do they have the access to the satellite images and computers? Communities may have their own alternate or small scale means of producing food that varies from getting out food to the largest number of peoples. Technologies have been developed like Google Earth and have been used by indigenous people to monitor illegal activities on their land, for example logging. What happens after the experts leave? It’s these things that we need to reflect on when we promote GIS for rural development.

References
Peter A. K. Kyem, James Saku. 2009. Web-Based GIS and the Future of Participatory GIS Applications Within Local and Indigenous Communities. GISP Department of Geography Central Connecticut State University New Britain, USA. EJISDC Vol. 38.

Daniel Weiner, Trevor M. Harris. 2003. Community-Integrated GIS for Land Reform in South Africa. URISA Journal, Vol. 15.

Renee Sieber. 2006. Public Participation GIS: A Literature Review and Framework. Annals of the Association of American Geographers. Volume 96, Number 3 , pp. 491-507.

GIS Applications in Epidemiology

Wednesday, December 30th, 2009

Thanks, JZ for the post

Applications of GIS aren’t new to epidemiology. Dating back to 1854, during a cholera outbreak in London’s Soho district, Dr. John Snow plotted the location of every individual case on a map and determined that they were distributed in a certain pattern that was linked to a contaminated water pump used by the local citizens. Now GIScience is being used to used to track the spatial distribution of all sorts of diseases.

H1N1 is a current epidemiological problem. Although H1N1 has been tracked since the outbreak, a lack of effective analysis tools (and countermeasures, of course) meant that the flu spread throughout the world within a few months. According to the latest update from the WHO, over 11,516 have died in the pandemic.

ESRI’s GIS is being used to track H1N1. According to ESRI’s own whitepaper, ‘GIS and Pandemic Influenza Planning and Response’, ESRI believes that geographic accuracy is essential in any infectious disease outbreak, and GIS applications can be critical in assessing risks, evaluating threats, tracking outbreaks, and ensuring the focused allocation of resources (e.g., vaccines and antivirals).

GISs tend to be rather static in their ability to model time. What is especially important is to be able to dynamically run a geospatial model of the outbreak. According to a recent article in Nature, agent-based modeling (ABM) can be used in modeling the disease’s possible spread, and designing policies for its mitigation. The ABM is basically an artificial society. Every person is represented by an autonomous software agent. Agents interact with each other; the computer tracks the agents’ health status as they interact in the virtual social network. Unlike classical epidemic modeling which based on differential equations, the ABM can simulate the complexity of social network. ABMs can be used to answer questions like, ‘What if a significant number of people refuse the H1N1 vaccine out of fear?’ ‘What is the best way to allocate the limited supplies of vaccines?’ or ‘How effective are school closures?’

A U.S. scale ABM (containing 300 million agents) can be run in approximately 10 minutes and can present the results on a map-based interface. Thus GIS and ABMs can provide the decision-makers a quick feedback on how their interventions work. As H1N1 moves through time and space and other possible pandemic influenza emerge in the future, GIS and ABM will play important roles in improving the efficiency of health agencies.

Geospatial Technology to for Wildlife Management and Conservation

Monday, December 28th, 2009

From KT, Intro GIS.

Geospatial technology, especially GIS, is often viewed as an application for analyzing and understanding social distributions (e.g., literacy rate, birth rate, and death rate). Increasingly, geospatial technology is used to monitor wildlife migration to better understand and develop conservation and management techniques.

In the Achanakmar Wildlife Sanctuary in India researchers measured a variety of variables to determine suitable habitat space for tigers. To develop the model, GIS data layers for the area were created by digitizing topographic maps (i.e., contours, roads, and settlement patterns). Satellite information was used for forest type and forest density. Forest type information was derived using a false colour composite. To complete the data sets, researchers also collected field data on the ground truth of forest type, current habitat area and the habitat area of prey. They also performed a statistical analysis. The result was a map that illustrates habitat suitabile for tigers.

A similar study was undertaken in Florida to analyze suitable habitat areas for the highly endangered Florida panther. The method of this study however differed slightly from that of the tiger study. Here, researchers used GIS to overlay maps of many different parameters (i.e., land type, road structure, vegetation, and protected areas). They obtained shapefiles from government and private sources. Their conclusions mimicked what was seen in the tiger study: only small regions are suitable for long-term panther sustainability.

The GIS approach to these problems is particularly important because it is repeatable over time as variables such as land use and forest type change. It also gives researchers a large spatial context and ensures that maps and models only contain relevant information. I think these models are very useful, as they provide a way for a researcher or conservation official to easily look at many variables and how the variables overlay each other spatially.